22889 Ml Jobs - Page 15

We have an urgent and high-priority requirement for a Java Developer + AI/ML 🔍 Position Details • Location – Hyderabad • Hybrid work model – 12 days from Hyderabad Infosys office every month and rest of the days work from home • Immediate Joiners only • Long term opportunity if performance is good • Mode of Interview – In person in Infosys Hyderabad Office. Job Description: • Java + AI/ML role required with at least 5+ years of industry experience on Java, Spring Boot, Spring Data & at least 2 years of AI/ML project / professional experience. • Strong experience in building and consuming REST APIs and asynchronous messaging (Kafka/RabbitMQ). • Working experience in integrating AI/ML models into Java services or calling external ML endpoints (REST/gRPC). • Understanding of ML lifecycle: training, validation, inference, monitoring, and retraining. • Familiarity with tools like TensorFlow, PyTorch, Scikit-Learn, or ONNX. • Prior experience in domain-specific ML implementations (e.g., fraud detection, recommendation systems, NLP chatbots) • Experience working with data formats like JSON, Parquet, Avro, and CSV. • Solid understanding of database systems – both SQL (PostgreSQL, MySQL) and NoSQL (Redis). • Integrate machine learning models (batch and real-time) into backend systems and APIs. • Optimize and automate AI/ML workflows using MLOps best practices. • Monitor and manage model performance, versioning, and rollbacks. • Collaborate with cross-functional teams (DevOps, SRE, Product Engineering) to ensure seamless deployment. • Exposure to MLOps tools like MLflow, Kubeflow, or Seldon. • Experience with any 1 of the cloud platforms, preferably AWS & Knowledge of observability tools & its metrics, events, logs, and traces (for e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics, etc..). Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in project management, change management, stakeholder alignment, and execution. Preferred qualifications: Experience in contributing to the development and deployment of technology solutions (including AI/ML), demonstrating the ability to identify opportunities and collaborate with technical teams. Experience in global operations with organizational structures and workflows. Experience with no-code/low-code AI tools and a willingness to learn. Knowledge of global HR/People Operations processes or service operations transformation. Ability to drive initiatives requiring change management and stakeholder alignment, while also connecting ideas, identifying synergies, and fostering across teams. Passion for structuring information to facilitate decision-making and align stakeholders. About The Job People Experience (PX) is the team at Google that delivers, hire-to-retire experiences for Googlers in the moments. We deliver global HR processes that are personalized for millions of candidates and Googlers. PX teams span Recruiting, Analytics and Planning, HR Operations, Vendor Management, Service Model Excellence, and Googler- and Market-level HR support. In this role, you will sit within the PX RISE (Routing, Infrastructure, Services, Excellence and Business Strategy) team. RISE is focused on transforming Google's People Operations service delivery. You will build durable capabilities across Intelligent Operations, Holistic Measurement, and Extraordinary Experiences, leveraging AI and ML to leapfrog current capabilities. We drive initiatives like AI-powered transformations (e.g., Agentic AI, POpsConnect enhancements), develop Critical User Journey (CUJ) oriented operating models, and implement robust measurement frameworks. As an AI Strategist within the RISE team, you will play a pivotal role in building and executing the goal for leveraging AI within Google's People Operations (POps) functions. You will be responsible for identifying opportunities, contributing to the roadmap for AI solutions, and guiding their conceptualization, development, and post-launch management. You will act as an advocate and consultant, bridging the gap between People Operations challenges and AI capabilities, driving innovation and ensuring alignment with our goal of achieving significant velocity in our transformation journey. You will work in an ambiguous environment, collaborating across People Experience (PX), POps, product, engineering, and leadership teams. Responsibilities Contribute to defining and executing the AI strategy and implementation roadmap for People Operations, focusing on specific personas and critical user journeys. Research and help prioritize Artificial Intelligence (AI)/Agentic AI use cases based on data, and alignment with objectives, collaborating with stakeholders. Contribute to conceptualizing AI solutions, emphasizing functionality, user experience, and business value, partnering with product and engineering teams. Partner with teams, acting as an integrator to align on AI initiatives, facilitate decision-making, and ensure clear communication. Support the life-cycle of AI initiatives, and ensure adherence to Google's Responsible AI principles. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) - Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

About the Company ZeTheta Algorithms Private Limited (www.zetheta.com) is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning. Responsibilities Design and implement the complete AI Models following provided specifications Develop both frontend and backend components of the platform Create and integrate AI modules Design and optimize database schema and queries Ensure system security, especially for sensitive identity verification data Deploy the solution using zero-cost cloud services Document code, APIs, and system architecture Complete the entire project within the 2 month timeline Qualifications A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field. Required Skills Strong programming skills in Python and JavaScript Experience with React.js for frontend development Knowledge of FastAPI or similar Python web frameworks Familiarity with database design and SQL (particularly PostgreSQL) Understanding of basic machine learning concepts Self-motivated with ability to work independently Preferred Skills Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers) Familiarity with computer vision techniques using OpenCV Knowledge of natural language processing concepts Sound knowledge of facial recognition or emotion detection systems Understanding of identity verification methodologies Docker containerization experience Prior work with cloud deployment (AWS) Who Should Apply? Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, options for 1,2,3,4 or 6 months. Type: Unpaid

🚨 We're Hiring: Software Engineer (Remote) 📍 Location: Remote 🧠 Experience: 2+ Years 💻 Mandatory Skills: MERN Stack (MongoDB, Express.js, React.js, Node.js), Python, Azure We’re on the lookout for a skilled and motivated Software Engineer with 2–10 years of experience in Java and/or the MERN stack . The ideal candidate will contribute to building and maintaining scalable, high-performance applications with clean, quality code. 🔧 Key Responsibilities: Develop and maintain applications using the Java/MERN stack Collaborate with cross-functional teams to design and implement features Troubleshoot, debug, and optimize performance Participate in the full SDLC – from requirement gathering to deployment Continuously learn and certify on emerging technologies Experience or exposure to AI, ML, or Data Science is a strong advantage 📩 Apply Now: ✉️ Kalpanadeshmukh@livecjobs.com 📞 7386971110 Know someone who’s a great fit? Tag or share! #hiring #softwareengineer #remotejobs #mernstack #python #azure #reactjs #nodejs #techcareers #nowhiring

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in system design or reading code (e.g., Java, C++, Python, etc.). Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. 3 years of experience within the security space including, security engineering, security analytics, risk quantification/measurement, or technical risk management. Experience with data visualization solutions like Looker Studio, Tableau and Power BI. Experience with AI/ML and data analysis softwares like SQL, R, Python, Go. Knowledge of transforming ideation and manual processes to technical solutions. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Help and maintain relationships with stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services. Contribute to Product Requirement Documents (PRDs) to record product specifications, validate PRDs to ensure customer/partner and internal needs are met, with some guidance. Help scale existing or create repeatable solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure documentation of solutions with some guidance. Help write solution code in collaboration with internal or external developers, users, partners, clients, or stakeholders. Collaborate with internal and external stakeholders in their respective process lifecycle to provide technical guidance or identify possible existing or new technical solution offerings to help build the outcomes with some guidance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Pep+ Positive . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com. PepsiCo Data Analytics & AI Overview: With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AI Products. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI. Data Scientist-Gurugram and Hyderabad The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Use big data technologies to help process data and build scaled data pipelines (batch to real time) Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines. Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure Automate ML models deployments Qualifications Minimum 3years of hands-on work experience in data science / Machine learning Minimum 3year of SQL experience Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers. BE/BS in Computer Science, Math, Physics, or other technical fields. Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Any Cloud - Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Model deployment experience will be a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is required Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills

Job Position- Technical Sales Manager - Software sales Experience- 5Yrs- 6Yrs Location - Mumbai Job Description: The Business Development Manager will be responsible for driving growth through new client acquisition and the expansion of existing accounts within the IT Services sector. This role requires a strategic thinker who can identify market opportunities, build relationships with key decision-makers, and position our IT service solutions to meet client needs. Primary Responsibilities: Develop and execute strategic business plans to achieve sales targets and expand our presence in the IT services market. Identify and pursue new business opportunities through targeted prospecting, networking, and referrals. Will be responsible for getting new clients and maintaining our existing clients. Build and maintain relationships with C-level executives and key stakeholders at client organizations. Conduct needs assessments to understand client challenges and propose customized IT service solutions. Negotiate contracts, service level agreements, and pricing structures. Collaborate with delivery teams to ensure the successful implementation of client engagements. Track industry trends and competitor activities to identify new market opportunities. Create compelling proposals and presentations tailored to client needs. Maintain accurate records in CRM system and provide regular forecasting and pipeline reporting. Represent the company at industry events, conferences, and networking functions. Qualifications: Bachelor's degree in Business, Marketing, Information Technology, or related field. Knowledge of specific IT domains such as AI/ML, cloud services (AWS), QA, NetSuite, cybersecurity, DevOps and data analytics. 5+ years of proven success in business development or sales within IT services. Travel as per business needs. Strong business acumen and ability to understand complex client requirements. Proven track record of consistently meeting or exceeding sales targets. Experience with RFP processes. Interested candidates please send the resume to dipsikhad@adventglobal.com

Description What makes us Qlik? A Gartner® Magic Quadrant™ Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Enterprise Account Executive (BFSI) Role Join the forefront of Qlik's Sales Organization as a Enterprise Account Executive, spearheading our presence in the BFSI Market within the West region, based in Mumbai. In this pivotal role, you will not only sell our cutting-edge data integration solutions but also be a key player in driving growth, fostering key relationships, and shaping the data adoption journey for our clients. What makes this role interesting? Strategic Territory Management: Develop and execute Territory Plans, collaborating with partners to elevate the value of transactions. BFSI Focus: Be the driving force in managing major BFSI accounts, building a sustainable pipeline in the West region. Educational Advocacy: Guide clients on their data adoption journey, leveraging our modern data management platform recognized for excellence in Data Quality, Data Integration, and Data Governance. Here’s How You’ll Be Making An Impact Revenue Growth: Drive growth across assigned accounts, identifying and acquiring new customers, upselling to the existing customer base, and optimizing revenue streams through collaboration with Qlik partners and the Alliances team. Territory Management: Take charge of your designated territory, engaging with Marketing, customers, prospects, and partners. Strategic Collaboration: Coalesce with internal and external pre-sales resources to execute "Proof of Concepts" and prototyping workshops. Market Presence: Enhance Qlik's visibility by participating in trade shows, workshops, seminars, and actively contributing to contract negotiations. We’re Looking For a Teammate With 1+ years of complex solution-selling experience in enterprise data warehousing or data integration products. Experience in selling for BFSI accounts and managing multiple sales cycles. Ability to qualify prospects, generate opportunities through networking, and prioritize effectively. Strong negotiation skills, coupled with excellent communication, presentation, and writing abilities. Proactive in anticipating market changes, adept at communicating complex ideas clearly, and quick to adapt to new situations. The location for this role is: Mumbai, India (travel required across the West region and other parts of the country as necessary). Apply now to make a significant impact as an Enterprise Account Executive and be a vital part of our success story in redefining data integration solutions. More About Qlik And Who We Are Find out more about life at Qlik on social: Instagram, LinkedIn, YouTube, and X/Twitter, and to see all other opportunities to join us and our values, check out our Careers Page. What else do we offer? Genuine career progression pathways and mentoring programs Culture of innovation, technology, collaboration, and openness Flexible, diverse, and international work environment Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs If you need assistance applying for a role due to a disability, please submit your request via [email protected]. Any information you provide will be treated according to Qlik’s Recruitment Privacy Notice. Qlik may only respond to emails related to accommodation requests. Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.

We are looking for a Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.). The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premises and cloud-based systems along with focus on reducing costs for Google Cloud. What You’ll Do Work in a DevSecOps environment responsible for the building and running of large-scale, massively distributed, fault-tolerant systems. Work closely with development and operations teams to build highly available, cost effective systems with extremely high uptime metrics. Work with cloud operations team to resolve trouble tickets, develop and run scripts, and troubleshoot Create new tools and scripts designed for auto-remediation of incidents and establishing end-to-end monitoring and alerting on all critical aspects Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Participate in a team of first responders in a 24/7 environment, follow the sun operating model for incident and problem management What Experience You Need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 2-5 years of experience in software engineering, systems administration, database administration, and networking. 1+ years of experience developing and/or administering software in public cloud Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js Demonstrable cross-functional knowledge with systems, storage, networking, security and databases System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) Proficiency with continuous integration and continuous delivery tooling and practices Cloud Certification Strongly Preferred What Could Set You Apart You have experience designing, analyzing and troubleshooting large-scale distributed systems. You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation You are passionate for automation with a desire to eliminate toil whenever possible You’ve built software or maintained systems in a highly secure, regulated or compliant industry You thrive in and have experience and passion for working within a DevOps culture and as part of a team

About This Opportunity Technical Sales Specialist Cognitive Network Solutions (CNS) is within Global PreSales Center - Bid Office Organization, responsible for providing technical and domain expertise during the sales cycle for solutions related to the RAN Intelligent Controller (RIC) and rApps. You will closely interact with Sales, Product and engineering teams to demonstrate technical feasibility and to ensure alignment of proposed solutions with customer requirements. What You Will Do Providing quality response for the RFx/tender within the given timeline. Develop solution architectures and respond to RFPs/RFIs for rApp-based offerings. Support in pre-sales RFXs deliverables i.e. Statement of Compliance SoC, Dimensioning, HW -SW configuration in ECP / ACS, Solution description and services estimates. Solution and proposal’s strategy alignment and support to CUs. During RFX , engage with customers units responsible to understand their business and technical needs related to RAN optimization and automation. Articulate the technical capabilities and business benefits of rApps. Create technical documentation including solution blueprints, architecture diagrams, and integration plans. Coordinate with cross SA ( NM) / BA ( BNEW) to tailor rApp solutions based on customer requirements. Collaborate with product management to influence rApp product roadmap based on market feedback. You will bring Good Understanding of the Sales process. Knowledge of SMO (Service Management and Orchestration) and Non-RT RIC. Familiarity with AI/ML frameworks and APIs used in rApp development. Understanding of containerization (Docker, Kubernetes), CI/CD pipelines is a plus. Experience with OSS/BSS integration and RAN analytics. Deep knowledge of O-RAN specifications, RIC architecture, and the rApp ecosystem. Industry trends in 5G, AI/ML for RAN, and O-RAN Alliance developments. Preferred Skills Interpersonal skills Presentation & Communication Skills Teamwork & Collaboration Analytical Thinking Relating & Networking Delivery Results & Customer Expectations Adapting & Responding to Change Able to meet tight deadlines Problem Solving & Strategic Thinking. Ability to work independently and across cross-functional teams. At least 6-10 years of experience from the Telecom industry. Bachelor’s degree in computer science, Electronics engineering or similar Fluent in English in oral and written communication. Preferred Certifications (Optional): O-RAN Alliance training/certification TM Forum or similar telecom standards certifications Cloud certifications (AWS/GCP/Azure) are a plus.

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 Our Talent Acquisition (TA) team operates strategically to identify, attract and assess top talent for the organization; bringing innovative recruiting strategies to life in order to support the growing needs of the business. Our team is composed of forward thinking, motivated people who bring a unique way of thinking to tackle challenges. In this role you’ll be responsible for – but not limited to – recruiting top Product & Engineering talent for the organization. You must be a builder who thrives in a learning environment – unafraid to try new things, embrace new ideas, and welcome suggestions for how we can continue to improve our processes and best practices. You will partner closely with tech leaders to drive initiatives that enhance our efforts to attract, recruit, and retain top tech talent. Our Talent Acquisition team is not a typical corporate recruiting team. We are efficient, agile, and results oriented. Nextiva operates at a rapid pace, requiring us to remain proactive and ahead of the curve. What You’ll Do Own Full-Cycle Hiring: Drive the full recruitment lifecycle for a wide range of technical roles, across engineering, product, data, and infrastructure teams - as a highly autonomous individual contributor. May also recruit on non-technical roles occasionally. Take full accountability for delivering high-quality hires that align with business goals and timelines Collaborate with hiring managers and leaders to understand business needs and create effective sourcing and hiring strategies Provide a world-class experience to candidates and hiring teams through consistent communication, high-touch engagement, and structured interview processes Be a Strategic Talent Advisor Play a highly strategic and impactful role in the buildout of our Centers of Excellence in Bangalore and Chennai Act as a consultative partner to hiring managers on hiring decisions, role scoping, market dynamics, and interview best practices Influence with data: deliver insights on pipeline health, sourcing effectiveness, hiring velocity, and competitive trends Collaborate on market mapping and building talent intelligence especially for niche roles and emerging tech functions Source & Pipeline Top Talent Drive proactive sourcing strategies using tools such as LinkedIn Recruiter, GitHub, Stack Overflow, X-ray search, and your personal network Develop and nurture relationships with local Universities and other mutually beneficial partners and organizations Build and nurture long-term talent pipelines for evergreen and hard-to-fill roles Represent the brand authentically in the market and cultivate relationships with passive talent Establish and maintain partnerships with third-party recruiters and staffing agencies to effectively meet hiring objectives when necessary Operational Excellence Drive consistency and quality across hiring processes while maintaining a strong focus on candidate experience and DEI Partner with coordination and operations teams to ensure streamlined scheduling, feedback collection, and compliance Ensure the in-house applicant tracking system is always used diligently and kept up to date You’re an Amazing fit if you have the following: 5+ years of full cycle recruiting experience, with a strong focus on technical hiring across engineering, data, product, and infrastructure functions Bachelor's or master's degree in human resources, business, or related field Proven ability to lead and execute searches for technical talent at all levels, including Staff, Principal Engineers, and Engineering Managers in dynamic or scaling companies Experience recruiting Sales talent a strong plus Deep understanding of technical concepts and role requirements (e.g., AI/ML, backend, frontend, full-stack, cloud, DevOps, systems architecture) Demonstrated success in identifying and hiring talent from top-tier product companies, high-growth startups, or elite engineering teams Extensive sourcing expertise with a proven ability to engage passive, high-quality candidates through strategic outreach and innovative techniques, leveraging tools like LinkedIn Recruiter and advanced Boolean/X-ray search methods Strong partnership skills, with a proven track record of influencing and advising engineering and product leaders throughout the hiring lifecycle Proficiency in managing structured, data-driven recruiting processes while delivering speed and hiring quality at scale Skilled in using recruiting data and market intelligence to shape decisions, report progress, and optimize outcomes Exceptional written and verbal communication skills; ability to represent the brand authentically to top technical talent Strong analytical mindset with experience using data to drive decisions and measure performance Excellent communication and interpersonal skills, with a commitment to a positive candidate and hiring manager experience Self-starter with a hands-on, get-it-done attitude, comfortable operating independently in a fast-paced environment Proficiency in Applicant Tracking Systems (ATS) - Greenhouse is a plus Ability to work in a hybrid working environment out of one of Nextiva’s India Offices: Bangalore: Wilshire III by MFAR, 3rd Floor, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048 Chennai: coming soon! Flexibility to attend meetings outside of normal working hours with Hiring Managers, TA leadership and peers based in the United States Ability to travel occasionally to Nextiva India’s locations and/or other recruiting events 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.

Role- GenAI Engineer Mandatory Skills- Gen AI, Agentic AI, Prompt Engineering, AIML Concepts & Libraries, Algorithms and Techniques, GCP Location- Chennai Work Type- Hybrid Expereicne- 3-8 Yrs. JD- AI Capabilities and Team Composition Team capabilities must include Computer Vision , Generative AI , and Agentic AI . Importance was placed on evaluating the complete AI capabilities of the vendor , including A I (Artificial Intelligence) and related skills. Non-Negotiable Skills Prompt Engineering and AI/ML, GenAI, MLOPS, NLP, GCP expertise are mandatory .

What will you be responsible for? Specifically, we are looking for an experienced algorithm engineer with a solid understanding of machine learning, deep learning, TensorFlow along with a background knowledge of image processing or signal processing algorithms. This role is to enable our R&D groups to evaluate various parallel HW architectures (such as GPUs) and explore & design algorithms to ensure that the most critical KLA AI algorithms can run optimally. This is a technical hands-on and lead role in research and implementation of these techniques and delivering production quality code. In a nutshell the position requires a strong and versatile background in algorithmic thinking, advanced deep learning tuning, and research in optimization methods. The position also requires a person with significant communication and technical leadership skills and the ability to navigate from relatively high-level requirements to low level algorithmic models. This position also requires to technically mentor new and junior team members to come up to speed and contribute effectively in on-going projects. Job Description ACL is looking for a Senior Research Specialist, AI & ML to join its team to develop the next-generation Image Processing and Machine Vision solutions, leveraging the latest techniques in AI & ML to solve problems in the areas of defect detection, and metrology. Your Day-to-day Roles Understand existing computer-vision + AI solutions for defect detection and metrology, and identify limitations. Be in active touch with latest developments in computer-vision, image processing, and related fields in both academic and industry. Design, develop & demo proof-of-concept prototypes, and deploy new algorithms at scale to address the limitations of existing solutions. Collaborate with a global team in identifying new problems and develop novel solutions. Minimum Qualifications PhD in CS, EE, AI, or related fields with 3-5 years experience working in computer vision and related areas, or Masters Degree with 5-10 years working experience; candidates with less experience may be considered if they have a remarkable track record. Strong foundation and working knowledge on machine vision. Strong programmer skills with background in one or more of the following languages: Python, Java, C++, C Hands-on experience in model development, training, and deployment in modern AI frameworks such as TensorFlow, PyTorch, or JAX Ability to formulate problems into mathematical equations. Proficient scripting skills in Python, Bash, or similar. Go-getter attitude with curiosity to learn new advancements in the field of data science. Team player with good written and verbal communication skills. Things to Make us go Wow! Hands-on experience in developing infrastructure to enable training and deployment at-scale in in-house and cloud data-centres. Experience with writing performance-sensitive python programs using frameworks like Triton, polars, etc. Good track record of publications in leading conferences. Experience with programming and optimization in low-level programming languages like CUDA. Finally a strong background in Modern C++ concepts (C++ 11 through C++ 17), STL library would also be a way to stand out from the crowd.

Job Title: Data Scientist / MLOps Engineer (Python, PostgreSQL, MSSQL) Location: Kolkata (Must) Employment Type: Full-Time Experience Level: 1–3 Years About Us: We are seeking a highly motivated and technically strong Data Scientist / MLOps Engineer to join our growing AI & ML team. This role involves the design, development, and deployment of scalable machine learning solutions, with a strong focus on operational excellence, data engineering, and GenAI integration. Key Responsibilities: Build and maintain scalable machine learning pipelines using Python. Deploy and monitor models using MLFlow and MLOps stacks. Design and implement data workflows using standard python libraries such as PySpark. Leverage standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model development and evaluation. Work with GenAI technologies, including Azure OpenAI and other open source models, for innovative ML applications. Collaborate closely with cross-functional teams to meet business objectives. Handle multiple ML projects simultaneously with robust branching expertise. Must-Have Qualifications: Expertise in Python for data science and backend development. Solid experience with PostgreSQL and MSSQL databases. Hands-on experience with standard data science packages such as Scikit-Learn, Pandas, Numpy, Matplotlib. Experience working with Databricks , MLFlow , and Azure . Strong understanding of MLOps frameworks and deployment automation. Prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI is a big plus. Preferred Qualifications: Experience in the Finance, Legal or Regulatory domain. Working knowledge of clustering algorithms and forecasting techniques. Previous experience in developing reusable AI frameworks or productized ML solutions. Education: B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. Why Join Us? Work on cutting-edge ML and GenAI projects. Be part of a collaborative and forward-thinking team. Opportunity for rapid growth and technical leadership. Job Type: Full-time Pay: ₹344,590.33 - ₹1,050,111.38 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 3 years (Required) ML: 2 years (Required) Location: Kolkata, West Bengal (Required) Work Location: In person Application Deadline: 02/08/2025 Expected Start Date: 04/08/2025

Company Description MultiQoS is a premier software development company with a team of over 145+ experts. Specializing in web and mobile app development, AI, and blockchain technologies, we have delivered over 500+ innovative solutions. Our custom software solutions enhance productivity, streamline operations, and drive customer engagement, turning ideas into success stories. Job Title: Senior Business Development Executive Location: Ahmedabad (On-site) Experience Required: 4 to 5 years in IT Sales Job Overview: We are seeking a dynamic and driven Senior Business Development Executive with 4 to 5 years of experience in IT service sales. Ideal candidates will have 4 to 5 years of focused experience in selling services related to AI/ML, Data Analytics, or Blockchain technologies. Strong command of the English language and excellent communication skills are essential. While candidates from outside Ahmedabad are welcome to apply, relocation and full-time on-site presence in our Ahmedabad office is mandatory. Key Responsibilities: Identify and pursue new business opportunities in the AI/ML, Data, and Blockchain service domains Collaborate with the pre-sales and marketing teams to qualify and convert leads Build and maintain strong, long-term relationships with clients Conduct discovery calls, gather requirements, and coordinate proposals Regularly update the CRM and track outreach activities Work with the delivery team to organize demos, prepare proposals, and scope projects Must-Have Skills: Minimum 4+ years of experience in outbound or inbound IT services sales Strong understanding of tech service sales, preferably in AI/ML, Data, or Blockchain domains Excellent written and spoken English—must be client-ready Experience in communicating with international clients via email, LinkedIn, Zoom, etc. Proven ability to independently manage the entire sales cycle—from initial outreach to deal closure Good to Have (Bonus Points): Experience with freelancing platforms such as Upwork, Freelancer, etc. Familiarity with B2B sales processes and international markets Tech-savvy with a keen interest in emerging technologies and a fast learning curve

We are looking for a skilled and passionate AI/ML Engineer to join our team and help us build intelligent systems that leverage machine learning and artificial intelligence. You will design, develop, and deploy machine learning models, work closely with cross-functional teams, and contribute to cutting-edge solutions that solve real-world problems. Key Responsibilities Design and implement machine learning models and algorithms for various use cases (e.g., prediction, classification, NLP, computer vision). Analyze and preprocess large datasets to build robust training pipelines. Conduct research to stay up-to-date with the latest AI/ML advancements and integrate relevant techniques into projects. Train, fine-tune, and optimize models for performance and scalability. Deploy models to production using tools such as Docker, Kubernetes, or cloud services (AWS, GCP, Azure). Collaborate with software engineers, data scientists, and product teams to integrate AI/ML solutions into applications. Monitor model performance in production and continuously iterate for improvements. Document design choices, code, and models for transparency and reproducibility. Preferred Qualifications Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). Background in deep learning architectures such as CNNs, RNNs, GANs, or transformer models. Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). Contributions to open-source AI/ML projects or publications in relevant conferences/journals.

Experience: 10 years Qualification: B.E./B.Tech in Computer Science or equivalent Industry Preference: Manufacturing/Process/IT Key Responsibilities Develop and execute AI/ML strategies. Manage AI/ML lifecycle from concept to production. Stay current with AI trends and apply ethical principles (fairness, transparency). Define metrics, timelines, and ensure successful delivery. Skills & Traits Programming (Python, R, Java); Big Data tools (Hadoop, Spark). AI/ML certifications (e.g., AWS ML – Specialty). Strategic and innovative thinking. Skills: r,ai/ml certifications (e.g., aws ml – specialty),spark,java,define metrics,programming (python, r, java),python,ai/ml certifications,ai trends,manage ai/ml lifecycle,ai/ml strategies,big data tools (hadoop, spark),aws ml,innovative thinking,strategic thinking,hadoop

Kickass Video Editor (AI-Savvy + Content-Obsessed) Location: On-Site, Guwahati- Assam About the Role We are looking for a scroll-stopping, trend-savvy Video Editor who is not just great with transitions and timelines, but also knows how to ride the AI wave to create engaging, high-quality videos every single day . If you live on Instagram Reels, dream in Shorts, and your idea of fun includes remixing with Runway or cloning with Kling.ai — you are our kind of crazy . What We Expect from you Edit high-quality, story-first videos for Reels, Shorts, and Promos Use AI tools like Runway ML, Pika, Veo3, Sora, Descript, Kling.ai, HeyGen, MiniMax to produce creative, fast-turnaround content Create engaging motion graphics and design elements Come up with your own content ideas based on what’s trending Work closely with our team to scale content output across multiple channels daily What You Should Know (Must-Haves) Adobe Premiere Pro, DaVinci Resolve, Final Cut Pro AI-powered tools for editing & storytelling (Runway, Descript, Pika, etc.) Social-first editing for platforms like Instagram, YouTube, and LinkedIn A strong design sense — ability to build basic graphics, layouts, and motion Self-initiated thinker — someone who doesn’t wait to be told what to do Bonus Points If You Are obsessed with trends, reels, and what’s going viral Have a travel, humor, or storytelling edge Have worked with AI video generators (e.g., Veo3, Sora, Hailuo, Kling, Heygen, Pika ) Can contribute to creative ideation and campaigns Why Join Us You will be part of a growing team working at the intersection of travel + tech + content + AI. We want to level up our content game and create content that moves

Job Title: Senior Recruiter Experience: 3 - 4 Years, Education: B.E/B.Tech in IT/CSE/ECE/EEE Location: Bangalore / Remote Joining date: Immediate to 3 weeks Job Summary We are seeking an enthusiastic and results-driven Senior Recruiter to manage our end-to-end recruitment cycle for various technology roles. The ideal candidate will have a strong background in IT services recruitment, possess excellent execution capabilities, and thrive in a fast-paced, cross-functional environment. This role requires a proactive approach and a high degree of ownership to attract top talent. The role will involve heavy and efficient use of AI to derive high quality, speed and high effectiveness & success in the Talent Acquisition process. Key Responsibilities Source and screen potential candidates using various recruitment tools and channels, including Naukri, Monster, LinkedIn, job postings, cold calling, headhunting, and mailers. Conduct initial candidate screening, potentially utilizing AI tools, and coordinate seamlessly for L1, L2, HR and client interviews. Collaborate closely with interview panels and hiring managers, providing regular follow-ups until successful candidate onboarding. Specialize in hiring for cutting-edge technologies such as ADMS (Java/Python/Testing), DevOps / SRE, Cloud (AWS/GCP/Azure), AI/ML, Data Engineering, Data Analytics, Embedded, IoT, Product Development, Embedded Electronics, IoT and other Digital Technologies. Maintain a high level of proactivity and ownership throughout the recruitment journey. Work flexibly and efficiently to manage multiple recruitment requirements simultaneously. Own the complete end-to-end recruitment life cycle, from sourcing to onboarding. Required Skills And Experience Minimum of 3 years of relevant experience in IT recruitment with good experience in handling (Digital and Engineering Technologies – as summarised above) Mandatory: Experience working with an IT Services company, ideally a mid-sized Indian IT company serving USA / European Clients or an IT Recruitment Company addressing such positions. Very good hands-on experience with recruitment tools and channels (Naukri, Monster, LinkedIn, job postings, cold calling, headhunting, mailers) and further good experience / willingness to use latest AI tools and approach Strong understanding of talent availability and market trends in the IT sector. Excellent communication and interpersonal skills, with the ability to effectively attract and engage candidates. High degree of flexibility and adaptability to manage diverse and multiple requirements. Highly proactive with a strong sense of ownership.

Ways of working – Employees will work full-time from their base location. About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. About the Team: - The Controllership team is responsible right from recording and tracking each financial level transaction to the closure of books and reporting of financial transactions by preparing financial statements and accordingly providing commentary of the financial outlook of the entity which broadly includes: A systematic and programmed monthly financial statement closure and reporting process, Liasioning with statutory auditors for timely completion of statutory audit, coordination with stakeholders as a facilitator to the audit team for providing input required for audit procedure. To ensure books of accounts get audited as per defined timelines and compliance. Quarterly limited review in line with the SEBI (LODR) requirements. Coordination with internal financial control auditors for timely closure of internal audit to work upon financial constraints and observations identified by the audit team and boosting financial level procedures and avoidance of control gaps. Streamlining the financial reporting process of subsidiaries for efficiency and timely finalization of Group financial statements. Finalization of Monthly MIS PL within defined timelines, Facilitating the Bankers, due diligence team, lenders, and investors by sharing the required information on time and reporting the requested details in a defined framework. Facilitating the timely completion of all planned acquisitions with respect to financial activities, such as Financial, legal and Tax due diligence, valuation and coordination etc. What will you get to do here? The individual will be responsible for accounting and reporting for Treasury Reviewing fund requirements, monthly reporting of all treasury activities to Senior Management Analyzing and performing appropriate funding activities (Loans, Deposits etc) Cash and Liquidity management through cash flow planning and forecasting Managing treasury operations and controls (cash pooling/ sweeping) Managing banking relationship Daily cash management Debt Facilities management Produce short, medium, and long-term cash flow forecasts Implement and periodically review the Investment strategy to ensure an optimal mix of risk and return. Analyze and implement financial/accounting implications of changes in standard accounting practice. Close operational / month-end activities in performing accounting and reporting. Prepare and analyze monthly Profit and Loss statements by cost-center as well as a company and share the conclusions from such analysis with management. Establishing controls, checks, and balances during the accounting process and delivering as per the accounting calendar. Drive cross-functional initiatives which require influencing & interpersonal skills. What qualities are we looking for? Experience with at least 4+ years of experience in a similar role. Strong knowledge of Treasury and accounting processes (preferably in the service/food tech industry) Strong understanding of financial markets and debt instruments Knowledge of banking relationships and covenants Appropriate handling of sensitive information Team player with the ability to communicate and coordinate with multiple parties Knowledge of leading controls design, validation, and remediation efforts “We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the law”

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About Team The Cost Analytics team supports all analytical and data requirements that supports the accounting function – specifically Margin & Cost, Vendor Funding, Imports, Trade Payables and Transporation Accounting. Leveraging firm’s tech stack, the team works on varied problem statement and help in providing an optimum solution to end users Job Summary The Manager is primarily responsible for leading a team dedicated to the accounting function for Lowe’s US operation in design, development and delivery business intelligence solutions. The principle purpose of the Manager is to work with the Business Leadership in delivering impactful data driven analytics support to the COA office. This position is responsible for designing the report to business needs with analytical best practices, facilitate to analyze results and identify insights for decision making. A substantial amount of technical knowledge is needed to support the various user requests and special projects. This is accomplished by utilizing advanced tools and methods to leverage various financial data. A goal of this position is automation of processes and enhancements of existing business analytics. To accomplish this, decent knowledge of cost and financial analytics, be proficient in MS Access, MS Excel, VBA, SQL, Teradata, Knime/Alteryx, Power Apps, Power Query, Power BI, Hadoop (Big data), Google Cloud Platform, Python, R etc is required. The Manager will collaborate directly with various areas of accounting teams and other areas of the Business in order to ensure Inventory, Revenue and Margin are reported accurately both from an Operational and Financial perspective. The position will possess analytical problem-solving, ability to synthesize multiple data points, will demonstrate the ability wrap multiple data points into a cohesive story and strategy. Roles & Responsibilities Core Responsibilities: Partner with domain leaders to understand the requirements and deliver right set of solutions Lead and mentor a team of BI analysts and developers Foster a culture of continuous improvement and data literacy Ensure data accuracy, integrity, and security across all reporting platforms Present insights and findings to stakeholders across all levels of the organization Create solutions addressing the specific challenge using various tools Create and maintain documentation of processes Act as a consultant to end users for recommendation on tools and technical feasibility Guide the team in key business knowledge areas and technical architecture Work alloction and delivery management with maintaining high accuracy of all reports and analysis Drive initiatives aimed at bringing in innovative ideas to current processes Years Of Experience 10+ years of experience in the domain of Reporting & Analytics 3+ years of experience in leadership/managerial role Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's Degree in Finance, Accounting, Analytics, Engineering or Business Intelligence Post Graduate in Finance/ Business Analytics will be an added advantage Experience working with multiple stakeholders across locations. Skill Set Required Primary Skills (must have) Excellent communication, problem-solving, and project management skills Understanding of relational databases – Teradata, IBM DB2, Hadoop, Google Cloud Platform Expertise in SQL – DDL & DML – Joins, Partition, Update, Stored Procedures, Query tuning, etc Advance MS Excel and MS Access experience including VBA Macros – LOOPS, Arrays, functions, procedures, User Forms, dynamic querying, Objects, Collections, Exception handling etc Experience working with analytical tools like Python, - Pandas, NumPy, PyOdbc,dateTime, etc Exposure to ETL tools like Alteryx and Knime Ability to create charts/visualization that aptly represents the trends and analysis Experience with Business Intelligence and Reporting tools, preferably in Power BI Analytical mindset to understand and solve complex business problem Self-motivated, strong leadership skills and excellent verbal/written skills Secondary Skills (desired) Knowledge of HTML, CSS and JS Experience in Web Apps using React Framework Exposure to API concepts using NodeJS Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design systems that help the company deliver major business processes (go-to-market, sales, finance, and customer support etc.). We deliver applications and products that let our customers do business with us in a seamless way, help grow our top line and increase our efficiency. As a Staff Software Engineer, you will play a pivotal role in the design & development of business processes, systems, applications, information and data. While working on this team, you’ll get a chance to make key technology decisions, solve massively complex problems, and develop new skills in the process. You will be results driven and coaching teams to deliver software products at the highest levels of quality and craftsmanship. This position is full-time and based in our Bengaluru office. This role will be based in Bangalore, India. Responsibilities: The ideal candidate will help scale LinkedIn’s productivity engineering team as we continue to experience dramatic growth in our members and the usage of our products with a focus on one or more of the areas below: - Applications and Automation: Design and develop software applications and automation tools to power the Sales & Operations Team and help develop software to boost business as well as sales productivity. - Microservices: Develop end to end Microservices and define work on the next-generation platform for internal applications of LinkedIn. - Enterprise Software: Build and operate the platform that powers Enterprise applications at LinkedIn. The goal is to provide and run in a 24/7 production environment a platform that enables our sales users and employees to be more productive, while at the same time remaining constantly available and performant. - Metrics and Analytics: Work on our enterprise metrics and analytics tool, building the frontend and backend of our enterprise metrics platform. - Service: Provide a technical platform for the Enterprise Software team to build services, which are the essential unit of development and deployment. - Integrations and Data Infrastructure: A focus on building integration with both cloud and on-premises applications and supporting large scale systems and tools that enable the generation of insights and data products on LinkedIn’s internal data via self-serve computing, reporting solutions, and interactive querying. - Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wise critical programs. - Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: - BTech/MCA or equivalent in Computer Science or related technical discipline. - 10+ years of experience in software architecture, design, and development. - 10+ years of experience writing clean and efficient code in Java, Python, and/or C#. Preferred Qualifications: - Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. - Expertise in designing and architecting solutions for distributed and scalable systems. - Experience working with cloud technology such as Azure. - Experience writing scalable and efficient Java for an enterprise product. - Experience using message queues such as Kafka. - Experience using NoSQL databases such as Cosmos DB. - Experience of working with big data technologies like Hadoop and Apache Spark - Experience with AI technologies and frameworks and a strong understanding of machine learning algorithms and data processing techniques. - Skilled in developing AI agents that deconstruct prompts into structured workflows, adapt to real-time feedback, and iteratively refine outputs. - Expert in designing autonomous, context-aware systems that simulate human judgment and adapt to dynamic environments using advanced ML and NLP. - Experienced in extending AI tools with custom or pre-built skills to support tailored workflows and real-time collaboration—enabling intelligent assistance across tasks like automation, code generation, troubleshooting, and cross-functional communication. - Knowledge of (and a passion for) current trends and best practices in full stack architecture, including performance, security, and scalability. - Familiarity and comfort with command-line applications, git source control and other aspects of developing in large, distributed software teams. - Strong written and verbal communicator who is highly organized and able to think entrepreneurially. Suggested Skills: - Full stack development - API Development - Software design - Java or C#, Python - Tools: LangChain, Semantic Kernel, OpenAI GPT, Azure OpenAI India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As the Sr. Manager, Agentic AI & Automation, you will lead transformative initiatives that drive operational efficiency, optimize workflows, and enable scalable automation across multiple domains within our company. Working in one of the largest global Media & Entertainment companies, this pivotal role offers an exciting opportunity to redefine how we leverage technology to enhance content production, delivery, and customer experiences. You will be responsible for developing and executing automation strategies that integrate seamlessly with our AI and digital transformation objectives, helping us stay ahead of the curve in a highly competitive industry. As Sr. Manager – Automation, you will play a critical role in architecting, deploying, and scaling automation solutions—including emerging Agentic AI capabilities—across key business processes at Warner Bros. Discovery. You will collaborate closely with engineering, AI/ML, product, and business teams to deliver impactful, intelligent automation that streamlines operations, enhances efficiency, and supports business transformation. Your responsibilities include driving the adoption of automation platforms (such as RPA, IPA, and cloud-based tools), integrating Agentic AI for adaptive and context-aware workflow automation, and ensuring solutions are robust, compliant, and measurable. This is a unique opportunity to influence the company’s automation strategy and champion the next wave of AI-enabled enterprise productivity. Automation & Agentic AI Strategy Development Contribute to developing automation and Agentic AI strategies aligned with enterprise objectives. Identify, evaluate, and prioritize automation opportunities, focusing on both traditional automation and advanced AI agents that can autonomously initiate, adapt, and complete tasks across digital workflows. Establish best practices for implementing automation with human-in-the-loop controls to ensure reliability and compliance. Remain up to date with automation and agentic AI trends, leveraging new technologies to elevate business impact. Team Leadership and Management Lead a diverse team of Automation engineers, analysts, and specialists, fostering a culture of innovation, collaboration, and high performance. Mentor and develop team members, ensuring they have the necessary skills and resources to succeed in their roles. Drive the team’s efforts in automating key business processes, with a focus on quality, speed, and precision. Set clear objectives and KPIs for the automation team, monitoring progress and ensuring timely delivery of automation solutions. Encourage a data-driven approach to measure the impact of automation on productivity, cost savings, and overall business outcomes. Automation Architecture and Implementation Lead the design and implementation of scalable, high-performance automation systems across the company’s infrastructure. Ensure that automation solutions are seamlessly integrated into existing workflows, systems, and tools. Oversee the selection and deployment of automation platforms, tools, and technologies, ensuring they meet security, compliance, and operational requirements. Collaborate with IT, AI/ML, and engineering teams to ensure a cohesive and reliable architecture for automation systems. Ensure the automation solutions adhere to industry standards, best practices, and compliance requirements. Cross-Functional Collaboration and Stakeholder Engagement Work closely with business stakeholders, product teams, and senior leadership to understand automation needs and align solutions with strategic goals. Communicate the value and impact of automation initiatives to key stakeholders, ensuring buy-in and active engagement. Establish strong working relationships with external partners, vendors, and consultants to leverage the latest automation technologies. Collaborate with AI and data teams to integrate automation into AI-driven workflows, enabling smarter automation decisions. Manage expectations, mitigate risks, and ensure transparency in the automation project lifecycle, from planning to execution. Automation Governance, Risk Management, and Optimization Establish robust governance frameworks to monitor and manage automation projects, ensuring adherence to budgets, timelines, and quality standards. Identify, assess, and mitigate risks associated with automation implementations, ensuring business continuity and operational stability. Drive optimization efforts to improve the performance and efficiency of automation solutions, ensuring they deliver maximum value over time. Continuously evaluate and refine automation strategies to ensure they remain aligned with evolving business needs and technological advancements. Ensure that automation solutions are secure, scalable, and compliant with relevant industry regulations and standards. Qualifications & Experiences Academic Qualifications: Bachelor’s or Master’s degree in Engineering, Computer Science, Business, or a related technical field from a recognized institution. Additional certifications in automation technologies (e.g., RPA, DevOps, Cloud Computing), Agentic AI or project management (e.g., PMP, Agile) are a plus. Professional Experience 8+ years of experience in automation, with a proven track record of leading large-scale automation initiatives in a technology-driven environment. Extensive experience in automation technologies, including Robotic Process Automation (RPA), Intelligent Process Automation (IPA), workflow automation, and cloud-based automation platforms. Strong understanding of AI, machine learning, and how automation can be integrated with AI-driven solutions for enhanced business performance. At least 3+ years of leadership experience, managing cross-functional, multi-geographic teams, and driving successful automation projects. Demonstrated success in transforming complex business processes into automated, streamlined workflows that drive measurable efficiency gains. Technical Skills Proficiency in automation platforms such as UiPath, and similar technologies. Strong knowledge of AWS cloud. Experience with scripting and automation development using languages like Python, JavaScript, PowerShell, or Shell scripting. Understanding of agentic AI principles—autonomous task agents, dynamic workflow orchestration, human-in-the-loop systems, and adaptive decision engines. Deep understanding of software development life cycle (SDLC), Agile methodologies, and DevOps practices. Familiarity with AI/ML technologies and how they intersect with automation to create intelligent, self-optimizing systems. Other Skills Excellent leadership, team-building, and interpersonal skills with the ability to engage stakeholders at all levels. Strong project management skills, with experience in overseeing end-to-end automation projects, ensuring timely and on-budget delivery. Exceptional communication skills, both written and verbal, with the ability to articulate complex automation strategies to non-technical audiences. Strong analytical and problem-solving skills with a focus on process optimization and continuous improvement. A proactive, self-motivated approach to identifying opportunities for automation and driving their implementation How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Qualifications Required Skills: Python programming expertise, including data structures, object-oriented programming, recursion, generators, iterators, decorators, and familiarity with regular expressions. Working knowledge and experience with deep learning frameworks such as PyTorch or TensorFlow, including embedding representations. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing and querying. Proficiency in Docker and creating Dockerfiles. Experience in REST API and JSON structures, utilizing Python packages like FastAPI. Skill in working with Git operations. Proficiency in shell scripting. Expertise in using PyCharm for development, debugging, and profiling. Knowledge of Kubernetes. Preferred Skills NLP toolkits such as NLTK, spaCy, Gensim, and scikit-learn; familiarity with fundamental natural language concepts including tokenization, lemmatization, stemming, edit distances, named entity recognition, and syntactic parsing. Advanced knowledge and experience with deep learning frameworks like PyTorch or TensorFlow. Complex operations within Elasticsearch, including creating indices and advanced field indexing. Comprehensive experience with Kubernetes. Skills: framework,sql database interactions,named entity recognition,profiling,rest api,regular expressions,python programming,recursion,lemmatization,json structures,decorators,pycharm,generators,deep learning frameworks (pytorch, tensorflow),tokenization,fastapi,object-oriented programming,edit distances,elasticsearch,stemming,dockerfiles,shell scripting,docker,nlp toolkits (nltk, spacy, gensim, scikit-learn),syntactic parsing,data structures,python,deep learning,ml,git operations,kubernetes,embedding representations,debugging,iterators