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About Us: Appwrk is a leading IT services and consulting organization specializing in web and mobile app development, digital marketing, and SEO. We work with a diverse range of clients, including Fortune 500 companies like Unilever, to deliver top-notch technology solutions. Job Description: AppWrk IT Solution, a leading innovator in digital and connected technologies, is actively investing in a Client Partner to drive growth and strengthen strategic relationships within our expanding digital ecosystem. The Client Partner will play a pivotal role in shaping, developing, and leading a high-performing sales strategy focused on securing new business opportunities, expanding existing client portfolios, and delivering an exceptional customer experience across assigned accounts. This individual will own the entire sales lifecycle — from pipeline development and lead qualification to client engagements, proposal delivery, negotiations, and deal closure. The ideal candidate brings a strong understanding of the challenges organizations face during digital transformation and can guide clients through these complexities with innovative, value-driven solutions tailored for the IoT, Manufacturing, Industry 4.0 and connected product Experience: 9 to 16 years Key Responsibilities: At AppWrk IT Solution , we are shaping the future of intelligent enterprises. As a Client Partner , you will be instrumental in expanding our footprint within the manufacturing sector , with a strong focus on Industry 4.0 , digital transformation , and enterprise innovation. You will lead strategic client engagements, drive revenue growth, and enable scalable transformation initiatives across the US market and globally. In this role, you will: Develop and execute industry-specific strategies , leveraging deep insights from the manufacturing sector to strengthen AppWrk’s position in areas like smart factories, IIoT, automation , and AI-led transformation . Own and manage strategic customer relationships , ensuring alignment with client goals and acting as a trusted advisor throughout their digital transformation journey. Identify and drive technology-enabled transformation initiatives in manufacturing, including ERP modernization, AI/ML integration, cloud adoption, and supply chain digitization. Analyze client needs and market dynamics to build a robust sales pipeline , uncover new business opportunities, and drive strategic growth. Collaborate with cross-functional teams to co-create go-to-market strategies and offerings tailored to Industry 4.0 priorities . Deliver measurable success across KPIs such as pipeline development, revenue generation, brand impact, client acquisition, and customer engagement . Implement platform and channel strategies that enhance client value, reduce risk , and promote innovation across the manufacturing landscape. Accelerate sales cycles within assigned account management teams to meet targets and exceed client expectations. Lead both consulting-led and staffing-based engagements , ensuring long-term profitability and sustained customer success. Communicate AppWrk’s value proposition and differentiators in the digital and manufacturing space with clarity and confidence. Drive a high-performance culture built on ownership, accountability, and customer-centric thinking . Position AppWrk IT Solution as a strategic digital partner for leading manufacturing enterprises worldwide. Cultivate strong partnerships with key stakeholders, accelerating growth and innovation through collaborative efforts. Work closely with marketing, finance, and delivery units to align sales and delivery execution for business impact. Provide continuous feedback on market trends, competitive movements, and innovation opportunities to shape future offerings. Support and contribute to the long-term strategic objectives of growth, diversification, and digital excellence within the manufacturing domain. What you need to bring: Minimum of 9 years experience in a client-facing role in a consulting firm or an account/engagement management role in the IT professional services offshore/outsourcing industry. Experience managing client P&L , including reporting and metric assessments. A strong performance track record of managing different portfolios. Strategic thinking and the confidence and ability to plan and stay the course. Ability to navigate a large organization, work in a multi-dimensional matrix, and have the power of persuasion through content and confidence. Thought leadership in technology, services, and business trends with a keen eye for disruptors. Digital Fluency on innovations, trends, and technologies in the digital space. Financial acumen and understanding of revenue and profitability drivers. High emotional intelligence and ability to navigate complex interpersonal dynamics. A bachelor’s degree is advantageous. Self-Image Sees themselves as creators of impactful and reliable software solutions. Identifies as a collaborative team player contributing to the project's success. Confident in their ability to adapt to new tools, technologies, and challenges. Why Join Us? Be part of a company at the forefront of smart manufacturing solutions . Opportunity to lead international business growth with high visibility. Work in a flexible, innovative, and growth-driven environment .

Job Title: Python Developer – AI Agent & Automation Company: Nogiz Location: Mohali, Punjab (On-site) Job Type: Full-Time, Permanent Experience: Minimum 2 Years Working Days: Monday to Friday Job Summary: Nogiz is hiring a Python Developer with experience in AI agents and automation. You’ll be responsible for developing Python-based automation tools and integrating intelligent agents using frameworks like LangChain or AutoGPT. Responsibilities: Develop and maintain Python automation and AI agent solutions. Work with APIs, automation libraries, and cloud-based tools. Collaborate with cross-functional teams on end-to-end projects. Debug, test, and document code for scalability and performance. Requirements: Minimum 2 years of Python development experience. Experience with AI/LLM frameworks (LangChain, AutoGPT, OpenAI API). Knowledge of automation tools (Selenium, PyAutoGUI, Requests). Familiarity with REST APIs, JSON, Git, and databases (SQL/NoSQL). Strong problem-solving skills and ability to work independently. Nice to Have: Experience with Docker, cloud platforms (AWS/GCP), or CI/CD pipelines. Basic understanding of ML or NLP. Perks: 5-day work week (Mon–Fri) Supportive work environment Growth opportunities in AI & automation Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Health insurance Location Type: In-person Schedule: Monday to Friday Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI Agent: 2 years (Preferred) Automation: 2 years (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Health insurance Schedule: Monday to Friday Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI Agent: 2 years (Preferred) automation: 2 years (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

The Testing Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Candidate is expected to Build Data Pipelines: Create programs using PySpark (a powerful data processing tool) to extract data from various sources (like databases and data lakes), clean and transform it, and load it into target systems Testing and Validation: Develop automated tests to ensure the data pipelines are working correctly and the data is accurate. This is like quality control, making sure everything meets the bank's standards Work with Hive, HDFS, and Oracle data sources to extract, transform, and load large-scale datasets Leverage AWS services such as S3, Lambda, and Airflow for data ingestion, event-driven processing, and orchestration Create reusable frameworks, libraries, and templates to accelerate automation and testing of ETL jobs Participate in code reviews, CI/CD pipelines , and maintain best practices in Spark and cloud-native development Ensures tooling can be run in CICD providing real-time on demand test execution shortening the feedback loop to fully support Handsfree execution Regression , Integration, Sanity testing, Regression automated suites, reports issues – provide solutions and ensures timely completion Own and drive automation in Data and Analytics Team to achieve 90% automation in Data, ETL space. Design and develop integrated portal to consolidate utilities and cater to user needs. Supports initiatives related to automation on Data & Analytics testing requirements for process and product rollout into production. Specialists who can work with technology team to design and implement appropriate automation scripts/plans for an application testing, meeting required KPI and automation effectiveness. Ensures new utilities are documented and transitioned to testers for execution and supports for troubleshooting in case required. Monitors and reviews code check-ins from peers and helps maintain project repository. Ability to work independently as well as collaborate within groups on various projects assigned. Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively. Experience and understanding of Wealth domain specifically in private bank(banking) , lending services and related Tech applications. Supports and contributes to automated test data generation and sufficiency. Successful candidate ideally would have following skills and exposure: 2-4 years of experience on automation testing across UI, Data analytics and BI reports in the Financial Service industry Hands on experience on Selenium BDD Cucumber using Java, Python Extensive knowledge on developing and maintaining automation frameworks, AI/ ML related solutions Experience on automating BI reports e.g., Tableau dashboards and views validation. Hands on experience in Python for developing utilities for Data Analysis using Pandas, NumPy etc. Exposure and some experience on AI related solutions, ML which can help automate faster. Experience with mobile testing using perfecto, API Testing-SoapUI, Postman/Rest Assured will be added advantage. Detailed knowledge data flows in relational database and Bigdata systems Strong knowledge of Oracle SQL and HiveQL and understanding of ETL/Data Testing. Experience using Bitbucket or equivalent code version control tool. Experience with CI/CD tools like Jenkins. Detailed knowledge data flows in relational database and Bigdata (Familiarity with Hadoop (a platform for processing massive datasets)). Strong experience with PySpark for batch and stream processing deploying PySpark workloads to AWS EKS (Kubernetes) Proficiency in working on Cloudera Hadoop ecosystem (HDFS, Hive, YARN) Hands-on experience with ETL automation and validation framework. Solid understanding of AWS services like S3, Lambda, EKS, Airflow, and IAM Scripting knowledge in Bash, Python, and YAML Strong problem-solving and debugging skills Excellent communication and collaboration abilities to lead and mentor a large techno-functional team across different geographical locations Strong Acumen and presentation skills Able to work in an Agile environment and deliver results independently Education: Bachelor’s/University degree or equivalent experience - Job Family Group: Technology - Job Family: Technology Quality - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Redefine the future of customer experiences. One conversation at a time. We're changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you're ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you're in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing The AI Data Protection and Compliance Engineer will design, implement and manage AI-specific data protection strategies by defining the security architecture and applying security best practices, policies and controls in collaboration with data scientists, developers and security staff. As part of the AI data protection strategy, the engineer will lead efforts to safeguard sensitive data across AI models, agents, and user interfaces by implementing robust classification, segregation, and access control mechanisms. The engineer will tune DLP policies for AI environments, ensuring proper governance and security of both inputs and outputs, including LLM and ML training data. The engineer will be responsible for deploying and managing protective tools across cloud platforms such as AWS, Azure, and GCP to mitigate advanced threats like model poisoning and data exfiltration. The engineer will support audits, monitor evolving AI risks, and help maintain a secure operational environment in line with regulatory and contractual obligations. Key Responsibilities As part of the data protection strategy, the engineer will: Implement data classification, segregation, access controls, and other appropriate controls to the inputs and outputs and models throughout the application, including AI models, agents, UI's and LLM and ML training and tuning data. Develop and tune DLP policies specifically for AI environments to ensure all sensitive data is accurately tracked, managed, and protected. Establish access controls, limitations and guardrails on usage and prompts for AI inputs and API's and ensure proper access controls on API's and processing pipelines, and segregation of data. Ensure that the appropriate data protection tools are deployed and operating in cloud environments, including AWS, Azure and GCP to protect AI systems against potential threats such as those in the OWASP AI Top Ten, including supply chain and model poisoning threats and attempts to access, modify, and exfiltrate confidential information. Assess and improve AI data protection controls to meet evolving technology and business requirements. Support audit and compliance processes by providing necessary documentation and metrics related to AI data protection practices. Work with development and compliance teams to ensure secure and compliant AI development throughout the product lifecycle to meet customer, regulatory, and contractual obligations. Maintain current knowledge of AI risks, threats, and AI testing tools and techniques. Perform other duties to support the technical and operational security of the organization as required. Qualifications Bachelor's degree in an IT related field or equivalent experience and 3-5 years of experience in working in data protection or developing solutions incorporating ML/LLM solutions. Desired certifications – one or more of the following: CISSP (Certified Information Systems Security Professional), Certified Information Security Manager (CISM), SSCP (Systems Security Certified Practitioner), CCSP (Certified Cloud Security Professional) or CompTIA Security+. Strong knowledge of data protection principles, particularly in AI and generative AI systems, including DLP and data classification. Understanding of Application Security and Data Security for applications and AI, such as the OWASP Top 10 and the OWASP Top 10 for Generative AI. Proficiency in and strong working knowledge of AI technologies and models such as Llama and ChatGPT. Experience and understanding of threats and risks related to web applications and API's, particularly with AI based applications. Experience deploying AI models and solutions in production environments. Experience with cloud technologies, such as AWS, Azure, GCP, Docker, Kubernetes, and infrastructure as code, such as Terraform. General knowledge of security implications of threats and vulnerabilities related to networks, servers, operating systems, applications, and databases. Flexibility to work off-hours to support global project teams and maintenance windows. Competencies Exceptional analytical skills, with the ability to communicate complex ideas clearly and effectively to varied audiences. Strong problem-solving skills and attention to detail. Organization, Time Management & Prioritization - Self-starter that focuses on key priorities; plans, organizes, schedules and executes tasks and projects in an efficient and productive manner. Ability to form productive relationships across the organization to accomplish information security objectives. Ability and willingness to learn all aspects of the information security field. Professional verbal and written communication skills in English. Expresses ideas using clear, effective and efficient language. Listens patiently and attentively. Adapts to the purpose of the communication with appropriate style, substance, detail, confidence and channel. Possess the ability to manage multiple channels of communication simultaneously; phone, email, tickets, and chat. Nextiva DNA (Core Competencies) Nextiva's most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking , and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude : They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security - Provident Fund & Gratuity Wellness ‍ - Employee Assistance Program and comprehensive wellness initiatives Growth - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what's going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. #LI-RQ1 #LI-HYBRID

Job Description Junior Data Engineer - Azure Databricks, Pyspark, Python, Airflow __Chennai/Pune India (1- 2 years exp only) YOU’LL BUILD TECH THAT EMPOWERS GLOBAL BUSINESSES Our Connect Technology teams are working on our new Connect platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on Connect data and insights to innovate and grow. As a Junior Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Spark, Scala, Pyspark, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools. These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub. Responsibilities Develop, test, troubleshoot, debug, and make application enhancements leveraging, Spark , Pyspark, Scala, Pandas, Databricks, Airflow, SQL as the core development technologies. Deploy application components using CI/CD pipelines. Build utilities for monitoring and automating repetitive functions. Collaborate with Agile cross-functional teams - internal and external clients including Operations, Infrastructure, Tech Ops Collaborate with Data Science team and productionize the ML Models. Participate in a rotational support schedule to provide responses to customer queries and deploy bug fixes in a timely and accurate manner. Qualifications 1-2 Years of years of applicable software engineering experience Strong fundamentals with experience in Bigdata technologies, Spark, Pyspark, Scala, Pandas, Databricks, Airflow, SQL, Must have experience in cloud technologies, preferably Microsoft Azure. Must have experience in performance optimization of Spark workloads. Good to have experience with DevOps Technologies as GIT Hub, Kubernetes, Jenkins, Docker. Good to have knowledge in Snowflakes Good to have knowledge of relational databases, preferably PostgreSQL. Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Minimum B.S. degree in Computer Science, Computer Engineering or related field Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Roles & Responsibilities:  Understand and design solutions to Business problems leveraging Data science and AI  Should be able to understand and gather the requirement from Stakeholders.  Propose and execute the solution and present the deliverables to Stakeholders.  Manage and optimize the deliverables.  Mentor and Train new team members.  Develop POCs to enhance teams’ capability. Skillsets 1: Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models.  Experience training and evaluating ML models. Perform statistical analysis of results and refine models.  Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.  Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.  Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modelling.  Use various statistical techniques and ML methods to perform predictive modelling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business.  Stronghold on Visualization tool (or libraries) like SAS Visual Analytics, Tableau, Python, etc.  Expert in working on Statistical tools (Python/R/SAS).  Experience with cloud computing infrastructure like AWS/Azure/GCP.  Able to develop, test and deploy models on Cloud/Web. Skillsets 2: 1.BERT and Transformer Models: Proficiency in working with BERT and other transformer-based models for various NLP tasks, such as text classification, named entity recognition, question answering, and text generation. Familiarity with fine-tuning BERT on specific downstream tasks using techniques like transfer learning and domain adaptation. 2.Natural Language Processing (NLP): Strong understanding of NLP techniques, including text preprocessing, information extraction, text representation, sentiment analysis, named entity recognition, topic modeling, and information retrieval. 3.Machine Learning and Deep Learning: Proficiency in machine learning and deep learning algorithms and frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Ability to train and evaluate NLP models using supervised and unsupervised learning techniques. 4.Programming Languages: Proficiency in programming languages commonly used in NLP, such as Python, Java, or C++. Ability to write efficient and clean code for data manipulation, model development, and deployment. 5.NLP Libraries and Tools: Familiarity with popular NLP libraries and tools, such as NLTK, SpaCy, Gensim, Stanford NLP, or CoreNLP. Ability to leverage existing librariesfor various NLP tasks and adaptthem to specific use cases. 8.Continuous Learning: Proactive approach to staying updated with the latest advancements in NLP research, technologies, and best practices. Active participation in conferences, workshops, and online forums. Qualifications  MCA/BE/B. Tech. /MBA/M.Stat./M.sc. or equivalent degree in Quant. from reputed institute.  3+ years of relevant experience. Soft Skills:  Excellent organizational skills and ability to prioritize wide range of tasks  Demonstrated initiative and creativity - ability to influence (add value)  Strong interpersonal, communication, organizational and planning skills.

Overview: Prodapt is looking for a strong backend and platform-focused engineer to join the AI Gateway team. This individual will play a key role in the end-to-end design, development, and deployment of GenAI services built on Google Cloud Platform (GCP), leveraging cloud-native architecture and scalable infrastructure . This is a high-impact engineering role suited for someone with a strong backend foundation, platform thinking, and a passion for building robust, production-grade GenAI applications. Responsibilities: Lead and contribute to the design, development, and deployment of GenAI applications using Kubernetes (GKE) and modern cloud-native patterns. Build and maintain CI/CD pipelines using tools like Argo CD , GitHub Actions , and infrastructure-as-code practices. Collaborate with ML engineers, infra teams, and product stakeholders to deliver secure, scalable, and observable services . Write clean, maintainable, and efficient code primarily in Python and other backend languages. Support front-end development and integration efforts where needed to ensure smooth end-to-end delivery. Provide technical leadership to a smaller group or squad through code reviews, mentorship, and architecture guidance. Monitor and optimize application health and performance using tools like Splunk and Datadog . Requirements: What We're Looking For: Strong proficiency in cloud-native architecture and scaling solutions using GCP and GKE . Experience with CI/CD pipelines , ideally with Argo CD , GitHub Actions, and containerized deployments (Docker, Kubernetes). Proficient in Python and familiar with backend frameworks and patterns. Familiarity with observability and monitoring tools like Splunk, Datadog , or equivalents. Exposure to full-stack development (e.g., React, TypeScript) is a plus. Strong analytical, debugging, and problem-solving skills . Excellent communication and collaboration abilities; ability to work across cross-functional teams. Bonus Points: Experience working with LLMs or Generative AI frameworks (e.g., LangChain, LlamaIndex). Prior contributions to AI infrastructure, MLOps , or large-scale microservices. Proven ability to lead or mentor junior developers and influence engineering practices.

Full time | Work From Office This Position is Currently Open Department / Category: DEVELOPER Listed on Jun 30, 2025 Work Location: CHENNAI BANGALORE HYDERABAD Job Descritpion of Gen AI/ Agentic AI Background Developer 6 to 8 Years Relevant Experience We are looking for a highly skilled and innovative Gen AI / Agentic AI Developer to join our advanced technology team. This role is ideal for a forward-thinking developer with a strong foundation in artificial intelligence and a passion for building intelligent, autonomous systems. The ideal candidate will bring deep technical expertise in AI frameworks, programming, and cloud platforms, along with strong analytical and problem-solving abilities. Key Responsibilities: Design and develop intelligent systems using Generative AI and Agentic AI principles. Build and deploy AI models leveraging frameworks such as TensorFlow, PyTorch, or Keras. Implement and support autonomous decision-making systems, enabling agent-based behaviors and interactions. Analyze complex data sets to derive insights, improve model performance, and support AI-driven functionalities. Integrate AI solutions into scalable environments using cloud platforms like AWS, Azure, or Google Cloud. Employ DevOps practices for seamless CI/CD pipelines, ensuring efficient deployment and iteration cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Communicate AI concepts clearly and effectively to non-technical stakeholders. Contribute to a team-oriented environment, sharing knowledge and participating in problem-solving discussions. Required Technical Skills: Proficiency in programming languages: Python, Java, or C++. Hands-on experience with leading AI/ML frameworks: TensorFlow, PyTorch, Keras, etc. Deep understanding of Agentic AI systems and autonomous workflows. Solid knowledge of cloud services (AWS, Azure, Google Cloud). Familiarity with DevOps tools and methodologies for continuous integration and deployment. Key Competencies: Analytical Thinking: Strong ability to interpret complex data and design intelligent algorithms. Problem-Solving: Creative and critical thinker, able to approach challenges from multiple angles. Communication: Excellent verbal and written skills, capable of explaining technical solutions in layman’s terms. Team Collaboration: A proactive contributor in team environments, focused on shared success. Required Skills for Gen AI/ Agentic AI Background Developer Job Python Java C++ TensorFlow PyTorch or Keras AWS Azure or Google Cloud Our Hiring Process Screening (HR Round) Technical Round 1 Technical Round 2 Final HR Round

What’s the role The SEAM organization integrates Safety, Environment & Asset Management activities, with a broad geographical footprint, that supports Shell’s business & assets around the world. Technical Asset Services (TAS), which sits in SEAM, is a key enabler for the accelerated delivery of Shell Performance Framework to reach Shell’s ultimate potential in Chemicals and Products (C+P), Integrated Gas/Renewables and Energy Solutions (IGRES) and Upstream. TAS provides high quality and cost-competitive technical resources who are supporting our Shell sites remotely yet are an integral part of asset teams delivering value through end-to-end AMS work processes. The TAO teams are located across 4 locations: Chennai, Manila, KL & Krakow. Asset Safety Reporting is Part of TAS supporting the Global Safety Reporting process, ensuring top quartile and on-time delivery of the safety reporting data and insights, ensure Process compliance, leveraging where applicable, the group and TAS specific Digitalization journeys. Global digitalization initiatives will include but not be limited to FIM, AMDP, Sphera, Jarvis, HSSE Data & Analytics Platform (DAP), as well as transformation towards application of AI/ML technology to further optimize the digital data diagnostics and integrated reporting process delivery. What you will be doing The purpose of this role is to support safety reporting delivery at Asset level with particular focus on Timely and Quality Safety Performance reporting submissions to Central Reporting Team and Asset LT (monthly, quarterly) and effective QA/QC processes execution. Support for reports with Asset data flowing from Sphera (Incident Data) Delivery of data for External Organizations Complete the OSHA 300 for asset, HWC, RTC and send signed copies to the focal points for the assets. (Regulatory to submit data to OSHA)- Annual Report Complete BSEE0131 and COS data submittals - Annual Reports Complete quarterly reports for JV connects. Annual COS data submission from Power BI, Sphera and other sources Review/remind Action Item owners/responsible parties of their actions - monthly basis Create Sphera "How to" guidance tutorials for as topics that need revising. Improvements and updates to existing dashboards as needed. Incorporate process safety walk and process fundamental KPI data into the HSE dashboard. Support Ops Safety Team with AI deployment & special application projects. Help develop Learnings from Incident apps (Power Apps) to support distribution and visibility of learnings through the organization. Monitoring events in SPHERA and QA/QC checks. Assist with the continuous improvement and implementation of standardized work processes for efficiency in process development and delivery. What you bring Minimum of 4 to 5+ years of experience in an HSSE role Bachelor’s degree in Engineering or equivalent Certified in NEBOSH IGC or equivalent HSE certification Strong aptitude for Learner Mindset Bird-eye view of HSSE reporting process, AIPSM, PMR, Responsible Care, HSSE & SP CFW and the overlaps of these Skilled in data and reporting systems, e.g., Sphera Cloud, Qlik, DAP, etc. Understanding of the Upstream/DS/IG business and how it works will be beneficial Ability to engage and effectively communicate at all levels inside and outside Shell Proven track record of delivery in Asset and/or Project leadership Experience in project management and facilitating continuous improvement High analytical and problem-solving skills, attention to detail Strong English communication skills - role requires interaction with senior leadership Shell in India Shell is a diversified energy company in India with 13,000 employees, and presence in Integrated Gas, Downstream, Power, Renewable and Upstream. Additionally, we have deep capabilities in R&D, digitalisation, and business operations. Our global strategy, Powering Progress, is designed to generate value for our shareholders, customers, and the wider society, and focuses on creating more value with less emissions. The strategy supports our purpose of providing more and cleaner energy solutions, with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070, Shell India aims to play a leading role in securing vital energy for today, while investing in, and helping to build, the energy system of the future through strategic investments in the country. Our Lubricants business serves over 50,000 consumers through a strong network of over 200 distributors, and operates an end-to-end value chain that spans conceptualization, development, and production at a world-class blending plant at Taloja. Through our 350-plus retail stations, we offer an integrated mobility experience including fuels, cafes, and convenience stores, with a prominent network of EV recharging facilities. Shell owns and operates a LNG re-gasification terminal at Hazira, Surat, with a capacity of 5 MTPA and a LNG truck-loading unit that plays a crucial role in helping meet India’s growing demand for gas across sectors. In 2022, Shell acquired Sprng Energy in a $1.55 billion deal to build an integrated energy transition business in the country. Sprng is a leading renewable energy company in India which develops and manages solar, wind, and hybrid power generation facilities and infrastructure. Our three capability centres across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally, working as a delivery engine for core technical, digital, and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector. We are committed to positively contributing to the communities in which we operate through programmes on STEM Education, Skilling, and Livelihood across India. We nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power, d.light, Orb Energy, and Cleantech Solar.

Summary Position Summary Financial Crime- Jr Associate Overview At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk Management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and RPA to solve Deloitte’s clients’ most complex issues. Working in Risk and Financial Advisory at Deloitte US-India offices has the power to redefine your ambitions. About Deloitte's AML Team Anti-Money Laundering Deloitte's Anti-Money Laundering (AML) practice assists clients worldwide, including both financial and non-financial institutions, in meeting a diverse range of regulatory requirements related to money laundering and economic sanctions. Our team comprises professionals with extensive expertise and a global network composed former bank regulators, federal law enforcement officers, financial institution compliance experts, IT specialists, economists, statisticians, bankers, and industry specialists. We collaborate with our clients to minimize their risks associated with money laundering and terrorist financing, enabling them to align with regulatory standards for robust programs and controls. Our services encompass the design, implementation, enhancement, and testing of AML/Sanctions programs, offering comprehensive compliance solutions. Whether our clients need assistance in crafting comprehensive compliance frameworks or guidance during investigations/regulatory inquiries, our technologically advanced solutions empower them to fulfill regulatory expectations and enhance their program resilience and confidence. Additionally, we provide services for responding to and rectifying compliance lapses when they occur. Anti-Money Laundering services include: Transaction Monitoring/Lookbacks/Investigations AML/Know Your Customer (KYC) Reviews (CDD / EDD) Currency Transaction Report (CTR) reviews Sanctions Screening/Alert reviews AML Independent Testing & Risk Assessments Fraud Reviews Key Responsibilities In this role, you’ll have the opportunity to work with our Deloitte U.S firms. The Key Responsibilities include: Basic understanding of Financial Services Industry Ability to interpret desktop procedures, standard operating procedures and follow the process steps Ability to meet individual targets and quality standards Timely escalation of issues to leads Highlight any process steps which are taking more than designated time Document any process exceptions and escalate to leads Working knowledge in Microsoft Office Suite Required Qualifications BBA/BBM/B. Com or equivalent degree with minimum 0-1 years of experience in AML-focused activities. How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India . Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. Deloitte is committed to achieving diversity within its workforce, and encourages all qualified applicants to apply, irrespective of gender, age, sexual orientation, disability, culture, religious and ethnic background. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with Deloitte’s clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips Finding the right job and preparing for the recruitment process can be tricky. Check out tips from our Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters . Benefits We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you . Our people and culture Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Check out our professionals’ career journeys and be inspired by their stories. Professional development You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people . © 2024. See Terms of Use for more information. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 305801

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The AI Quality Engineer will play a critical role in ensuring the quality and reliability of AI applications through comprehensive testing and evaluation methodologies. This role requires expertise in assessing AI technologies for response quality, privacy and security adherence, governance, and efficiency, with a focus on enforcing robust safeguard mechanisms. The candidate will collaborate across teams to validate solutions that align with organizational strategies and uphold responsible AI standards. About the Role This position involves testing AI applications to evaluate user interaction quality, validate operational effectiveness, and ensure the systems meet specified regulatory, security, and privacy frameworks. The AI Tester will strategically enhance AI-driven experiences by deploying advanced testing methodologies, including but not limited to A/B testing, model evaluation using metrics like precision, recall, F1-score, and BLEU, adversarial testing for robustness, and prompt engineering evaluation for user interaction quality. They will also utilize system evaluation techniques such as benchmarking and performance testing to guarantee consistent results and optimal, ethical, and secure behavior of AI systems. Responsibilities AI Testing & Evaluation: Design and execute testing strategies for AI systems to ensure quality, accuracy, and reliability of responses under various conditions and use cases. Use structured evaluation methodologies (e.g., eval frameworks) to assess AI system performance, robustness, and user experience. Measure systems against defined quality standards, reporting inconsistencies and suggesting improvements. Governance & Safeguards: Validate privacy, security, and governance structures integrated into AI applications, ensuring compliance with organizational policies and external regulations. Evaluate guardrails for responsible AI practices and any potential risks in deployment. Collaboration & Reporting: Work closely with development teams to provide actionable feedback on issues discovered during testing phases. Document test results comprehensively and communicate findings to relevant stakeholders for improvements. Collaborate with internal AI teams and IT departments to align testing with business needs, system goals, and infrastructure requirements. Continuous Improvement: Stay updated with emerging AI testing methodologies and tools to refine the quality assurance processes. Proactively identify opportunities for improving AI systems and solutions through testing insights. Key Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Proven experience in quality assurance or software testing, preferably in AI and ML systems. Familiarity with testing frameworks like retrieval-augmented generation (RAG) pipelines, agent orchestration systems, or similar methodologies. Hands-on experience with modern AI development technologies and testing tools including LangChain, LangGraph, or proprietary evaluation SDKs. Proficiency in assessing multimodal AI systems using text, images, audio, or documents as inputs. Strong understanding of responsible AI practices and governance mechanisms. Preferred Skills Expertise in privacy, security evaluation, and guardrails implementation. Ability to analyze and validate quality metrics for AI solutions in enterprise environments. Experience testing region-specific solutions in diverse market settings. Good understanding of vector stores, memory architectures, and system feedback loops. Effective communication and reporting skills for team-wide collaboration. Work Environment Logitech empowers collaboration and enables global teams to work efficiently, regardless of location. Our hybrid work model supports flexibility while maintaining productivity across teams - with opportunities to work remotely as well. Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Job Title: MTS (Member Technical Staff) Responsibilities may include, but are not limited to: 80% [Primary Function] Technical Execution Contribute to accurate, unambiguous technical design specifications with appropriate detail, including GenAI-based system integration. Deliver customer value in the form of high-quality software components and AI-powered services while ensuring adherence to security, performance, longevity, and AI model integration best practices. Estimate the size of development tasks in story points. Understand and follow coding conventions, AI model integration architectures, and best practices for working with LLMs (Large Language Models). Write, debug, and deploy code to production, ensuring timely fixes and optimizations for GenAI-powered applications. Adhere to Definition of Done (DOD) as part of the sprint, including unit tests, functional testing, code reviews, API performance validation, AI model evaluation, and prompt tuning. Implement and optimize GenAI-based workflows (e.g., OpenAI APIs, LangChain, vector databases for RAG, AI-driven automation). 10% Contributions to the Team Learn the domain knowledge for the assigned area, including how GenAI solutions can improve product offerings. Take ownership of GenAI-powered features and AI-driven automation post-release, ensuring continuous improvement. Participate in AI use case discussions, including LLM fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and AI-based automation. Contribute to agile ceremonies to improve team performance. Volunteer for work in the backlog, including GenAI model integration tasks, and commit to high-quality delivery. Participate in scrum meetings (daily stand-ups, sprint planning, readouts, and retrospectives). Help determine how GenAI is leveraged effectively in collaboration with cross-functional teams. 5% Cross functional Coordination and Communication Work collaboratively across the Technology, Product, and AI/ML teams to ensure alignment toward GenAI integration goals. Build strong relationships with AI engineers, data scientists, and cross-functional team members to leverage AI capabilities in products. 5% Mentorship of Others Share knowledge on GenAI best practices, AI integration strategies, and API-based AI services with team members. Participate in AI/ML discussions, helping others learn how to integrate and optimize GenAI models in software applications. Education, Experience, & Skills Required: 2-4 years of experience in a software engineering role, with exposure to AI/ML concepts. Familiarity with working in an Agile environment preferred. Bachelor’s Degree or equivalent in Computer Science, Engineering, or a related field. Software engineering experience, with exposure to AI model integration and generative AI frameworks. Knowledge of modern programming language such as: Python - preferred for AI applications Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies. Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB). Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks. Understanding of GenAI model deployment in cloud environments (AWS or Azure). Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering. Behaviors & Abilities Required: Ability to learn and adapt in a fast-paced environment, particularly in AI and GenAI integration. Ability to write performant, scalable, and maintainable code for AI-powered applications. Critical thinking skills to assess AI-generated outputs and improve model reliability. Problem-solving mindset to identify alternative methods of solving software engineering and AI-related challenges. Proven track record of delivering AI-integrated features while following best practices in software development. Ability to collaborate on AI-driven solutions, working with cross-functional teams, data scientists, and software engineers. Curiosity and willingness to explore new AI models, tools, and frameworks for enhancing software applications with GenAI capabilities. About athenahealth Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support. Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve. What we can do for you: Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. Learn more about our culture and benefits here: athenahealth.com/careers https://www.athenahealth.com/careers/equal-opportunity

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About EY GDS Global Delivery Services (GDS) is a dynamic and truly global delivery network. Across our six locations, we work with teams from all EY service lines, geographies and sectors, and play a vital role in the delivery of the EY growth strategy. We operate from six countries and sixteen cities: Argentina (Buenos Aires) China (Dalian) India (Bangalore, Chennai, Gurgaon, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Trivandrum) Philippines (Manila) Poland (Warsaw and Wroclaw) UK (Manchester, Liverpool) Careers in EY Global Delivery Services Join a team of over 50,000 people, working across borders, to provide innovative and strategic business solutions to EY member firms around the world. Join one of our dynamic teams From accountants to coders, we offer a wide variety of fulfilling career opportunities that span all business disciplines Our Consulting practice provides differentiated focus on the key business themes to help our clients solve better questions around technology. Our vision is to be recognized as a leading provider of differentiated technology consulting services, harnessing new disruptive technology, alliances and attracting talented people to solve our clients' issues. It's an exciting time to join us and grow your career as a technology professional. A technology career is about far more than leading-edge innovations. It’s about the application of these technologies in the real world to make a real, meaningful impact. We are looking for highly motivated, articulate individuals who have the skills to the technology lifecycle and are passionate about designing innovative solutions to solve complex business problems. Your career in Consulting can span across these technology areas/ services lines: Digital Technologies : We are a globally integrated digital architecture and engineering team. Our mission is to deliver tailored, custom-built end to end solutions to our customers that are Digital, Cloud Native and Open Source. Our skills include Experience design, UI development, Design Thinking, Architecture & Design, Full stack development (.Net/ Java/ SharePoint/ Power Platform), Emerging Technologies like Block Chain, IoT, AR\VR, Drones, Cloud and DevSecOps. We use industrialized techniques, built on top of agile methods utilizing our global teams to deliver end to end solutions at best unit cost proposition. Testing Services : We are the yardstick of quality software product. We break something to make the product stronger and successful. We provide entire gamut of testing services including Busines / User acceptance testing. Hence this is a team with all round skills such as functional, technical and process. Data & Analytics : Data and Analytics is amongst the largest and most versatile practices within EY. Our sector and domain expertise combined with technical skills in data, cloud, advanced analytics and artificial intelligence differentiates us in the industry. Our talented team possesses cross-sector and cross-domain expertise and a wide array of skills in Information Management (IM), Business Intelligence (BI), Advance Analytics (AA) and Artificial Intelligence (AI) Oracle : We provide one-stop solution for end-to-end project implementation enabled by Oracle and IBM Products. We use proven methodologies, tools and accelerators to jumpstart and support large Risk and Finance Transformation. We develop solutions using various languages such as SQL or PL/ SQL, Java, Java Script, Python, IBM Maximo and other Oracle Utilities . We also provide consulting services for streamlining the current reporting process using various Enterprise Performance Management tools. SAP : By building on SAP’s S/4HANA digital core and cloud services, EY and SAP are working to help organizations leverage industry-leading technologies to improve operational performance. This collaboration helps drive digital transformation for our clients across areas including finance, human resources, supply chain and procurement. Our goal is to support clients as they initiate or undergo major transformation. Our capabilities span end-to-end solution implementation services from strategy and architecture to production deployment. EY supports clients in three main areas, Technology implementation support, Enterprise and Industry application implementation, Governance Risk Compliance (GRC) Technology. Banking and Capital Market Services: Banking and Capital Market Services companies are transforming their complex tax and finance functions with technologies such as AI and ML. With the right blend of core competencies, tax and finance personnel will shift to data, process and technology skills to service global clients on their Core Banking Platforms and support their business / digital transformation like Deposit system replacements, lending / leasing modernization, Cloud–native architecture (Containerization) etc. Wealth and Asset Management: We help our clients thrive in a transformative age by providing innovative services to global and domestic asset management clients to increase efficiency, effectiveness and manage the overall impact on bottom line profitability by leveraging the technology, data and digital teams. We do many operational efficiency programs and Technology Enabled Transformation to re-platform their front and Back offices with emerging technologies like AI, ML, Blockchain etc. Insurance Transformation : The current changing Macroeconomic trends continue to challenge Insurers globally. However, with disruptive technologies – including IoT, autonomous vehicles, Blockchain etc, we help companies through these challenges and create innovative strategies to transform their business through technology enabled transformation programs. We provide end to end services to Global P&C (General), Life and Health Insurers, Reinsurers and Insurance brokers. Cyber Security : The ever-increasing risk and complexity surrounding cybersecurity and privacy has put cybersecurity at the top of the agenda for senior management, the Board of Directors, and regulators. We help our clients to understand and quantify their cyber risk, prioritize investments, and embed security, privacy and resilience into every digitally-enabled initiative – from day one. Technology Risk: A practice that is a unique, industry-focused business unit that provides a broad range of integrated services where you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for EY within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. Behavioral Competencies: Adaptive to team and fosters collaborative approach Innovative approach to the project, when required Shows passion and curiosity, desire to learn and can think digital Agile mindset and ability to multi-task Must have an eye for detail Skills needed: Should have understanding and/or experience of software development best practices and software development life cycle Understanding of one/more programming languages such as Java/ .Net/ Python, data analytics or databases such as SQL/ Oracle/ Teradata etc. Internship in a relevant technology domain will be an added advantage Qualification: BE - B. Tech / (IT/ Computer Science/ Circuit branches) Should have secured 60% and above No active Backlogs EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Financial Crime- Jr Associate Overview At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk Management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and RPA to solve Deloitte’s clients’ most complex issues. Working in Risk and Financial Advisory at Deloitte US-India offices has the power to redefine your ambitions. About Deloitte's AML Team Anti-Money Laundering Deloitte's Anti-Money Laundering (AML) practice assists clients worldwide, including both financial and non-financial institutions, in meeting a diverse range of regulatory requirements related to money laundering and economic sanctions. Our team comprises professionals with extensive expertise and a global network composed former bank regulators, federal law enforcement officers, financial institution compliance experts, IT specialists, economists, statisticians, bankers, and industry specialists. We collaborate with our clients to minimize their risks associated with money laundering and terrorist financing, enabling them to align with regulatory standards for robust programs and controls. Our services encompass the design, implementation, enhancement, and testing of AML/Sanctions programs, offering comprehensive compliance solutions. Whether our clients need assistance in crafting comprehensive compliance frameworks or guidance during investigations/regulatory inquiries, our technologically advanced solutions empower them to fulfill regulatory expectations and enhance their program resilience and confidence. Additionally, we provide services for responding to and rectifying compliance lapses when they occur. Anti-Money Laundering services include: Transaction Monitoring/Lookbacks/Investigations AML/Know Your Customer (KYC) Reviews (CDD / EDD) Currency Transaction Report (CTR) reviews Sanctions Screening/Alert reviews AML Independent Testing & Risk Assessments Fraud Reviews Key Responsibilities In this role, you’ll have the opportunity to work with our Deloitte U.S firms. The Key Responsibilities include: Basic understanding of Financial Services Industry Ability to interpret desktop procedures, standard operating procedures and follow the process steps Ability to meet individual targets and quality standards Timely escalation of issues to leads Highlight any process steps which are taking more than designated time Document any process exceptions and escalate to leads Working knowledge in Microsoft Office Suite Required Qualifications BBA/BBM/B. Com or equivalent degree with minimum 0-1 years of experience in AML-focused activities. How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. Deloitte is committed to achieving diversity within its workforce, and encourages all qualified applicants to apply, irrespective of gender, age, sexual orientation, disability, culture, religious and ethnic background. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with Deloitte’s clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips Finding the right job and preparing for the recruitment process can be tricky. Check out tips from our Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters. Benefits We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Our people and culture Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Check out our professionals’ career journeys and be inspired by their stories. Professional development You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people. © 2024. See Terms of Use for more information. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 305801

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant – AI/ML Seeking an experienced GenAI/ML Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Major focus should be at Gemni as CVS is GCP shop. Responsibilities AI Application Development – Build and maintain Python-based AI services using LangChain, and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. LLM Integration & Optimization – Integrate Gemni, OpenAI, Azure OpenAI APIs. Optimize API calls using temperature, reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). Model Evaluation & Performance Tuning – Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. API & Microservices Development – Design scalable RESTful APIs services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. Cloud Deployment & Orchestration – Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation. Agile Development & Innovation – Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Qualifications we seek in you! Minimum Qualifications BE /B.Tech/M.Tech/MCA Experience in AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone Experience in LLMs & APIs: OpenAI, LangChain, CrewAI Experience in Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD Experience in Security & Compliance: OAuth2, JWT, HIPAA Preferred qualifications Experience in AI/ML, LLM integrations, and enterprise cloud solutions Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval Strong knowledge of scalable AI architectures and security best practices Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Noida Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 1, 2025, 4:51:01 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

The Role Were building serious learning programs in Data Science and Generative AI. We dont need know-it-alls or fake guruswe need someone whos smart, speaks well, can be on camera, and wants to learn fast. You’ll work across product, content, and training. Some of the work is strategic, some of it is grunt work, and all of it matters. You’ll teach, build, edit, explain, listen, and improve. Expect to grow quickly if you’re actually curious and driven. What You’ll Do Contribute to building and refining AI/data land Data Science learning content Take live classes and record videos—be clear, be engaging Create hands-on explainers, walkthroughs, and demos Help learners get unstuck—online and in community Stay up to speed with what’s happening in GenAI and data, and help us keep our content relevant What You Need Excellent communication — no handholding here Strong willingness to learn — fast and independently Comfort on camera and with people — you’ll be talking a lot Some work experience (1–4 years) — show us you’ve handled real responsibility Interest in data/AI — even if you’re not yet skilled, you should be curious enough to dive in Bonus If You’ve Done Teaching, training, or mentoring Any kind of content creation (video, blog, social) Small projects in data or GenAI—personal or professional

Description Want to join a team that protects and improves the buyer experience of millions Amazon customers and builds earth's most customer-centric sellers daily - using innovative technology including machine learning, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe? We have an exciting opportunity with the Regulatory Intelligence, Safety, and Compliance (RISC) engineering team, to architect and build next-generation engineering systems to quickly and accurately identify and mitigate product safety issues and potential risks to the customer experience. As a Software Development Engineer, you will work with your team of highly skilled software, data, and ML engineers to invent, design, build and manage highly scalable distributed systems that provide availability, scalability and latency guarantees. You will work with your internal customers to balance customer requirements with team requirements and help your team and business evolve, by working with LLMs and large data sets. You will be using the latest AI, AWS and industry technologies to deliver a one-stop risk identification and remediation ecosystem for Amazon, keeping our customers safe and products compliant, building the software creating the world’s most trustworthy data set on everything companies and customers need to know related to the safety and compliance of products and chains. Each and every person buying, selling, or handling Amazon products will be your customer. As a member of this growing team, you’ll be able to build the groundwork and influence its direction for the years to come. Our work cuts across various disciplines — from delivering an awesome user experience via great UI/UX, to building massively scalable backend systems to support the most high-traffic pages on Amazon.com, to analytical and feedback systems which give us data-driven customer insights, to using machine learning and AI to influence recommendations and marketing. If you have a passion for consumer-facing applications, and are obsessed with customer experience, we want you! If you’d like to make a real-world difference by working hard, having fun, and making history, this is the team for you! Key job responsibilities In This Role You Will Help define the system architecture, own and implement specific components, and help shape the overall experience Collaborate closely with product managers, UX designers, and other SDE team members to help define the scope of the product Take responsibility for technical problem solving, creatively meeting product objectives, and developing best practices Demonstrate cross-functional resource interaction to accomplish your goals Write high-quality, efficient, testable code in Java and other object-oriented languages Design Amazon-scale tools to facilitate internal business Build highly available, secure, and low-latency systems Mentor other developers Find out what it takes to engineer systems for "Amazon Scale" Design and build microservices Own and operate the systems that you build based on real-time customer data and demanding service-level agreements Contribute to planning, design, implementation, testing, operations, and process improvement A day in the life High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing CRs, writing high-quality code to be an example for the team. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3004279

About Navi Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences. Ignite the Spirit of a “Navi_ite” Imagine being at the heart of India’s fastest-growing financial services company, where every day brings the opportunity to redefine how millions manage their money. Navi is transforming the landscape with Personal and Home Loans, UPI, Insurance, Mutual Funds, and Gold—delivering innovation that makes financial products simpler, more accessible, and truly affordable. With our cutting-edge AI/ML technology and deep expertise, we’re not just setting new standards; we’re creating experiences that delight and inspire. This is your chance to be part of something extraordinary. At Navi, you won’t just be advancing your career; you’ll be leading a revolution in finance. Join us and discover how it feels to be at the forefront of this. Founders: Sachin Bansal & Ankit Agarwal Responsibilities : Calendar & Meeting Management : Manage complex schedules, coordinate meetings, and ensure timely follow-ups. Travel & Event Planning : Organize domestic and international travel, including visa processing, itinerary planning, and logistics. Communication & Coordination : Act as a point of contact for the Chairman, handling emails, calls, and correspondence efficiently. Stakeholder Management : Liaise with internal teams, clients, and external partners to facilitate smooth communication and coordination. Confidentiality & Compliance : Handle sensitive information with discretion and ensure adherence to company policies. Documentation & Reporting : Maintain records, prepare reports, and assist in the creation of presentations as needed. Operational Support : Assist in day-to-day administrative tasks, ensuring seamless execution of executive operations. Key Skills Required : Strong organizational and time management skills. Excellent verbal and written communication abilities. Ability to manage multiple tasks with high attention to detail. Professionalism, discretion, and ability to handle confidential information. Strong coordination and stakeholder management skills. Ability to work independently in a fast-paced environment. What is awaiting you at Navi? Unyielding Perseverance, Boundless Passion, Unwavering Commitment Are you ready to channel your relentless drive into something truly transformative? As a Navi_ite, you will embody the essence of perseverance and passion, pushing boundaries and redefining what’s possible. As a Navi_ite, you’ll be at the forefront of our mission, taking on responsibilities that challenge you and push the limits of what you thought possible. Relentless Pursuit of Unmatched Excellence Imagine a place where your quest for excellence knows no bounds. At Navi, we don’t just set high standards; we live them. At Navi, we believe in delivering exceptional results and creating real value. You will have the opportunity to tackle projects with precision and pride, setting standards and achieving outcomes that make a tangible difference. Your ability to manage tasks effectively and maintain high standards will be key to our shared success. Unbreakable Resilience and Agility Visualize yourself thriving in an environment where change is not a barrier but a catalyst for your growth. As a Navi_ite, you’ll turn every challenge into an opportunity with your unparalleled resilience and adaptability. Your adaptability will be essential as you navigate evolving situations, contributing to both your personal development and the team’s achievements. Joining Navi means stepping into a role where your perseverance, pursuit of excellence, and resilience are not just valued—they are celebrated. If you’re ready to leave a legacy of impact and innovation, your journey starts here. Embrace this chance to be a part of something extraordinary and let your potential shine. Your future as a Navi_ite awaits.

Manager EXL/M/1407357 Digital SolutionsNoida Posted On 30 Jun 2025 End Date 14 Aug 2025 Required Experience 4 - 8 Years Basic Section Number Of Positions 3 Band C1 Band Name Manager Cost Code G082021 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 3000000.0000 - 4000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Product Practice Development SBU MLOps CoE Country India City Noida Center Noida - Centre 59 Skills Skill PYTHON DEV DEVOPS MACHINE LEARNING DEEP LEARNING Minimum Qualification B.TECH/B.E Certification No data available Job Description Job Title: Machine Learning Engineer (Manager - Band B2/ C1) Company Name: EXL Services Location: Bangalore/Noida/Pune/Hyderabad/Gurgaon/ WFH Mode Education: B.E. / B. Tech / M.E. / M. Tech / MCA Experience Required: 4+ years of relevant experience Job Responsibilities: Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment. Innovation and Continuous Improvement: Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques. Contribute to the continuous improvement of team processes and workflows. Share knowledge and expertise to promote a collaborative learning environment. Development and Documentation: Build software to run and support machine-learning models. Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes. Participate in fast iteration cycles and adapt to evolving project requirements. Business Solutions and Strategy: Propose solutions and strategies to business challenges. Collaborate with Data Science team, Front End Developers, DBA, and DevOps teams to shape architecture and detailed designs. Mentorship: Conduct code reviews and mentor junior team members. Foster strong interpersonal skills, excellent communication skills, and collaboration skills within the team. Mandatory Skills: Programming Languages: Proficiency in Python (3.x) and SQL. ML Frameworks and Libraries: Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Databases: Proficiency in SQL and NoSQL databases. Mathematics and Algorithms: In-depth knowledge of mathematics, statistics, and algorithms. ML Modules and REST API: Proficient with ML modules and REST API. Version Control: Hands-on experience with version control applications (GIT). Model Deployment and Monitoring: Experience with model deployment and monitoring. Data Processing: Ability to turn unstructured data into useful information (e.g., auto-tagging images, text-to-speech conversions). Problem-Solving: Analytically agile with strong problem-solving capabilities. Learning Agility: Quick to learn new concepts and eager to explore and build new features. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Experience: Minimum of 4 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably in cloud-based environments. Workflow Workflow Type Digital Solution Center

Lead Full-Stack Engineer Experience: 6+ years (3–4 enterprise applications deployed) Role Summary We are building a large-scale, real-time video learning platform powered by AI module and playback resumption As the Lead Full-Stack Engineer, you will define and lead architecture, mentor engineers, ensure quality delivery, and own critical components across React, FastAPI, Django, PostgreSQL, Redis, and AWS. Tech Stack Frontend: React (Hooks, Context, Router)Backend: FastAPI (async), Django (REST, ORM)Database: PostgreSQL, RedisInfra: Docker, AWS (ECS, RDS, CloudFront, S3, Secrets Manager) CI/CD: GitHub Actions Responsibilities Architect and lead full-stack development of scalable web applications Guide the team through backend (FastAPI/Django) and frontend (React) best practices Design and manage APIs (REST and WebSocket)Optimize and maintain scalable PostgreSQL schemas and Redis caching Ensure end-to-end CI/CD pipelines using Docker + GitHub Actions Manage secure, reliable deployments on AWS (ECS, S3, CloudFront, etc.)Perform code reviews, enforce clean architecture, and mentor junior engineers Collaborate with product, design, and ML teams to deliver key product goals Hands on Required Skills 6+ years of full-stack experience with React + Python backend (Django/FastAPI) Successfully deployed 3+ enterprise-grade products in production Deep understanding of PostgreSQL optimization and RedisProficient in Docker, GitHub Actions, and AWS-based deployment pipelines Experience with JWT-based auth, session management, and role-based access Experience with microservices and real-time communication (WebSocket, queues)Bonus Skills Redis Streams, Kafka, or event-driven design AWS MSK or SQS/Kinesis Previous experience with video platforms or ML/data-heavy apps Preferred Immediate joiner Job Types: Full-time, Permanent Pay: ₹332,308.96 - ₹1,526,199.02 per year Benefits: Health insurance Schedule: Day shift Fixed shift Morning shift Experience: Django: 8 years (Preferred) PostgreSQL: 9 years (Preferred) AWS: 8 years (Preferred) CI/CD: 8 years (Preferred) Docker: 9 years (Preferred) Python: 9 years (Preferred) Kafka: 8 years (Preferred) GitHub: 8 years (Preferred) Work Location: In person Application Deadline: 03/07/2025 Expected Start Date: 02/07/2025

PAYU PAYMENTS PRIVATE LIMITED ` Role Title: P3 Associate Product Manager Location: Mumbai/Bangalore About The Team PayU Finance is the credit and lending arm of the PayU brand (a wholly owned subsidiary of the Prosus group. Previously Naspers group) headquartered in Amsterdam, Netherlands. PayU Finance India has disbursed about 20 billion loans to date by volume and has disbursed more than $280 million in consumer credit. PayU Finance provides consumers with easy access to affordable short-term loans up to INR 5 lacs that can be availed in the form of personal loans, point of sale EMI, and express loans. PayU Finance operates under two brands - LazyPay and PaySense with a focus on Buy now Pay later and personal loan products. About The Role We are seeking a passionate Associate Product Manager to drive product development for our consumer-facing fintech platform. This role focuses on enhancing user experience across mobile and web applications, streamlining KYC processes, and building scalable platform solutions that serve millions of users in the financial technology space. Responsibilities Consumer Experience & Product Development Design and optimize end-to-end consumer journeys across our fintech platform Collaborate with UX/UI teams to create intuitive, user-friendly financial products Conduct user research and analyze customer feedback to identify pain points and opportunities Define product requirements that enhance customer acquisition, engagement, and retention Champion customer-centric thinking across all product decisions Mobile & Web Application Management Drive product strategy for both iOS, Android, and web-based financial applications Work closely with engineering teams to prioritize feature development and bug fixes Ensure consistent user experience across all digital touchpoints Monitor app performance metrics, user engagement, and conversion rates Coordinate app store optimization and release management processes KYC & Compliance Product Features Lead product initiatives for Know Your Customer (KYC) and identity verification processes Collaborate with compliance and legal teams to ensure regulatory adherence Design seamless onboarding experiences that balance security with user convenience Implement and optimize identity verification workflows and document collection processes Stay updated on evolving regulatory requirements and translate them into product features Platform Development & Integration Support the development of scalable platform infrastructure for financial services Work with technical teams on API design and third-party integrations Contribute to platform roadmap planning and architectural decisions Ensure platform reliability, security, and performance standards Facilitate integration with banking partners, payment processors, and other fintech vendors Fintech Domain Expertise Develop deep understanding of financial services, payments, and regulatory landscape Analyze fintech market trends and competitive landscape Collaborate with product marketing on go-to-market strategies Support business development initiatives and partnership opportunities Contribute to product positioning and pricing strategies Requirements The more common skills and attributes that are needed for this role may include: Bachelor’s degree in computer science, Engineering, or related field; MBA or other advanced degree preferred 0.6-2 years of product management experience, preferably in fintech, banking, or consumer technology Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams Experience with Agile development methodologies and product development lifecycle management Strong analytical and problem-solving skills, with a data-driven approach to decision making Experience with data analytics and visualization tools Ability to manage multiple projects simultaneously and prioritize effectively Strong understanding of mobile app development (iOS/Android) and web technologies What we offer? A positive, get-things-done workplace A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this). An inclusive environment that ensures we listen to a diverse range of voices when making decisions. Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale. Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity). About Us PayU specializes in credit products and services for emerging markets across the globe. Headquartered in Mumbai, PayU Credit India has disbursed about 20 billion loans to date by volume and has disbursed more than $280 million in consumer credit. PayU Credit provides consumers with easy access to affordable short-term loans up to INR 5 lacs that can be availed in the form of personal loans, point of sale EMI and express loans. Lead by Prashanth Ranganathan, the company has been focusing on providing innovative solutions that make access to credit convenient as well as quick. PayU India entered the alternate lending business in 2017 with LazyPay, its buy-now-pay-later offering to provide consumers with convenient checkout options. It emerged as one of the most popular payment methods across 300+ renowned merchants in its network like Swiggy, Zomato, Samsung, Dunzo, GoAir, amongst others. Recently the company launched ‘LazyPay Credit Shield’ an end to end digital lending features that help its users to be mindful of their financial health and credit score and automates the entire process of disbursal. Riding on the success of the offering in 2018, PayU received RBI’s approval to operate as an NBFC in 2018. PayU acquired a stake in PaySense in January 2020 to accelerate its vision for credit in India and leverage AI & ML to build a full-stack digital lending platform in India. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience Our Commitment to Building A Diverse and Inclusive Workforce As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities.

Job Description**Job Title: AI/ML Engineer (Agentic AI, LLMs, Deep Learning) ** **Experience Level: ** 3–4 Years **Job Type: ** Full-Time **About the Role: ** We are seeking a skilled and motivated AI/ML Engineer to join our team in building intelligent, agentic systems for the casino gaming domain. The ideal candidate will have hands-on experience with agent frameworks—particularly LangGraph—and a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering. **Responsibilities: ** Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks Collaborate on the development and fine-tuning of both open-source and proprietary LLMs Develop robust RESTful APIs using frameworks such as FastAPI or Flask to support AI model deployment and integration Conduct experimentation and evaluation of foundational models and neural network architectures Maintain and enhance model performance through data curation, retraining, and optimization Contribute to technical design discussions and participate in architecture reviews Stay updated with emerging research and advancements in AI/ML, especially in reinforcement learning, agent design, and LLM systems **Requirements: ** 3–4 years of professional experience in machine learning and applied AI Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Hands-on experience with agentic AI frameworks (LangGraph preferred) Strong understanding of foundational models, neural networks, and deep learning principles Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude) Solid experience in building and maintaining RESTful APIs using FastAPI or Flask Bachelor’s degree in computer science, Engineering, or a related field (master’s preferred) **Nice to Have: ** Experience in the gaming or casino domain Familiarity with MLOps tools and model deployment pipelines

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled strong analytical background to work in our Analytics Consulting practice Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 2+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, AWS SageMaker or Databricks) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

Overview We are looking for a Senior Software Engineer to help us build and evolve the core backend systems that power our next-generation tax platform. This role is ideal for someone who thrives at the intersection of high-scale backend engineering , and language runtime integration . You will work on the systems that underpin our business-critical tax calculation engines, contributing to the scalability, reliability, and performance of services that support critical tax logic execution. What you'll bring 6+ years of professional experience in backend or systems-level software development. Proven experience building scalable, distributed backend systems in production environments. Strong programming skills in Java, C# and/or C++. Low-level experience with JVM, CLR, or other language runtime environments. Solid understanding of performance optimization, multithreading, memory management, and networking. Experience with modern CI/CD pipelines, observability tools, and DevOps best practices. How you will lead Design, build, and scale backend systems that support our tax development language and runtime. Contribute to the modernization and integration of legacy systems with modern runtimes (e.g., JVM, CLR). Implement performance-critical components using Java and C++ in a distributed, service-oriented architecture. Collaborate with compiler/runtime engineers and AI/ML teams to support intelligent language tooling. Ensure system reliability, observability, and operational excellence in production environments. Write clean, well-tested code and participate in design and code reviews. Mentor junior engineers and contribute to the technical growth of the team.

Job Title: Software Engineer with AIoT Skills 1. Overview: We are seeking a highly skilled Software Engineer with expertise in AIoT (Artificial Intelligence of Things) to join our innovative team. The primary objective of this role is to design, develop, and implement software solutions that leverage AI and IoT technologies to enhance product functionality and user experience. You will be instrumental in bridging the gap between physical devices and cloud applications, driving efficiency and intelligence in our product offerings. 2. Key Responsibilities: Design and develop software applications for AIoT devices, focusing on scalability and performance. Collaborate with cross-functional teams to gather and analyze requirements for AI and IoT projects. Implement edge AI and Tiny ML solutions to optimize processing capabilities and reduce latency. Develop and maintain robust APIs for seamless integration between IoT devices and cloud services. Conduct testing, debugging, and validation of software solutions to ensure high-quality outcomes. Stay updated on emerging trends in AIoT technologies and leverage them to innovate and improve existing products. Create technical documentation and provide support for deployment and maintenance of software applications. 3. Technical Skills: Proficiency in programming languages such as Python, C++, or Java. Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Solid understanding of IoT protocols and communication methods (MQTT, CoAP, HTTP). Familiarity with edge computing principles and frameworks. Knowledge of Tiny ML techniques for deploying machine learning on resource-constrained devices. Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their IoT services. Experience in developing embedded systems and firmware for IoT devices. 4. Required Qualifications: Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field. Minimum of 2 years of experience in software development, with a focus on AI or IoT applications. Strong analytical and problem-solving skills, with a track record of successful project delivery. 5. Skills & Experience: Proven experience in AIoT projects, demonstrating the ability to integrate AI algorithms with IoT devices. Familiarity with email marketing tools and strategies related to promoting AIoT solutions. Hands-on experience in the design and deployment of IoT applications, focusing on real-world use cases. Understanding of Edge AI solutions and their implementation in IoT ecosystems. Knowledge of Tiny ML and practical experience in deploying machine learning models on low-power devices. If you are passionate about pushing the boundaries of technology in AIoT and want to make a significant impact in this rapidly evolving field, we invite you to apply and join our dynamic team!