9518 Machine Learning Jobs - Page 35

Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build business case for technological investments to be made for future needs and to remain competitive Ensure that billing and utilization of team members is maximized throughout the year

Key Responsibilities Mentor and support students in our Data Science program (beginner to advanced levels) Provide guidance on projects, portfolios, and real-world problem-solving Host live sessions, office hours, and 1:1 support as needed Review and provide constructive feedback on code, models, and analyses Stay up to date with the latest tools, trends, and practices in data science What We’re Looking For: Strong foundation in Python, SQL, statistics, and machine learning Experience with tools like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Work Location: In person

Location: Chennai, Tamil Nadu Length of Commitment: 1 year Education: Bachelors/Masters in Economics, Statistics, Public Policy or related fields Language requirement: English and Tamil PIs: Esther Duflo (MIT), Dr. Girija Vaidyanathan (Retd. IAS), Frank Schilbach (MIT) and others Project Description: The Research Associate (RA) will be an integral part of the Tamil Nadu Aging (TNAging) Portfolio, a long-standing collaborative initiative between J-PAL South Asia and the Government of Tamil Nadu aimed at improving the well-being of the elderly through evidence-informed policymaking. The RA will work across one or more studies under this portfolio, including longitudinal surveys, randomized evaluations (community-based mental health interventions, machine learning for health screening, etc.), and implementation pilots (study on caregivers of elders, etc.)). This is a unique opportunity to contribute to rigorous policy-relevant research, while engaging deeply with government systems. Roles and Responsibilities: Research Design and Data Management Assist in designing and refining survey instruments and qualitative research tools. Lead or support pilot testing, backchecks, and monitoring of survey protocols. Manage data quality processes, including field validations, cleaning, and preliminary analysis in Stata/R. Develop and maintain daily data tracking and progress dashboards. Uphold data security, research ethics, and compliance with J-PAL and IRB protocols. Field and Operations Management Supervise day-to-day field activities, including recruitment, training, and oversight of field teams (surveyors, field managers, data operators). Liaise closely with government officials and partner organizations to ensure effective on-ground coordination. Oversee implementation of study protocols and ensure timelines and quality benchmarks are met. Conduct regular visits to field sites across Tamil Nadu to ensure high-quality data collection and troubleshoot operational challenges. Stakeholder Engagement and Communication Maintain strong relationship with multiple departments of the Government of Tamil Nadu and other key partners. Provide regular updates, process notes, and documentation to stakeholders. Support dissemination efforts, including creation of reports, policy briefs, and presentations with clear visualizations. Share timely insights with policymakers to inform real-time decisions. Team Collaboration Support and collaborate with other RAs, field team and team members across the TNAging Portfolio. Desired Qualifications and Experience: Required Bachelors/Masters degree in Economics, Statistics, Public Policy, Development Studies, Social Sciences, or related fields. Proficiency in Stata/R is non-negotiable; experience with data visualization tools is a plus. Strong Tamil and English communication skills (Tamil, spoken would suffice). Demonstrated ability to manage teams and juggle multiple tasks with attention to detail. Willingness to live in Chennai and travel extensively to rural field sites across Tamil Nadu. Ability to work independently, take initiative, and solve problems in real time. Preferred Prior experience with randomized controlled trials or quasi-experimental methods. Experience in research, monitoring evaluation, or development programs/impact evaluations of at least a year. Experience working with government systems or in public sector partnerships. Familiarity with issues of aging, rural health, mental health, or social protection.

The Research Intern will work closely with the Principal Investigator, Research Associates, Research Managers and other field staff to perform a variety tasks including, but not limited to: Supporting the PI in designing and piloting the survey instruments for any future experiments Conducting piloting activities in neighbourhoods of Patna Helping to review and design survey questions Intervention implementation and monitoring Liaising with and managing field staff who are conducting follow up activities with survey participants. Helping to design and implement the research protocol Ensuring that the PI is well informed about all the activities in the ground with respect to the implementation. Ensuring that the call centre, set-up as a part of the intervention, meets all safety requirements as per the study protocols Ensuring quality data collected in the call-centres by conducting back- checks and other data quality checks Data cleaning and processing Monitoring incoming data from the field Maintaining strong relationship with the partner organization Any other task as assigned by the PIs Desired Qualifications Resourceful, self-motivated and able to manage multiple tasks efficiently Experience managing or conducting data collection in the field Excellent written and spoken communication skills in English and Hindi Experience working with Stata and/or R strongly preferred Attention to detail and ability to stay organized Desire to learn and develop new skills Bachelor's/Master's degree in economics or related fields Familiarity with randomized controlled trials

Looking for candidates from Premium institutes education background. Hands on Exp with AI ML, Gen AI - LLM, NLP, Lang chain

Skills : Python AI/ML & ML Ops Practices Machine Learning and deep Learning Cloud - GCP/AWS/Azure AI/Ml,NLP,LLM DevOps - Docker, Kubernetes, and Git Frontend development and API integration We are seeking a talented and experienced AI Engineer to join our dynamic team. Theideal candidate will have a strong background in Python programming, with extensiveexperience in API development, microservices, and working with both SQL and NoSQLdatabases. Familiarity with Python frameworks such as Flask and FastAPI is essential. Thisrole involves developing high-quality, scalable, and robust applications and services,contributing to a range of projects that make a real impact. Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable Python code. Develop and maintain RESTful APIs and services. Work with SQL and NoSQL databases to store and manipulate data effectively. Build scalable microservices and integrate them into larger application ecosystems. Collaborate with cross-functional teams to understand user requirements andprovide technical solutions. Contribute to all phases of the development lifecycle, from concept to deploymentand maintenance. Troubleshoot, test, and maintain the core product software to ensure strongoptimization and functionality. Keep up-to-date with the latest industry trends and technologies in Pythondevelopment.

- Collaborate with cross-functional teams to identify AI-driven use cases - Integrate AI models into enterprise solutions using Power Platform, .NET, and other Microsoft tools Required Candidate profile - Strong hands-on experience with Microsoft Azure (especially AI & ML services) - Proficiency in C#, .NET Core, Python (for ML models), and Power Platform - Development level testing Perks and benefits - GPA and Term Insurance - 5 days week

building various Machine Learning, Deep Learning regression experience in Generative AI tech stack Prompt engineering, ChatGPT Ollama,Gemini, RAG frameworks TensorFlow, Pytorch Huggingface librariesLlamaIndex Langchain Python Visualization Python

Job Title: Senior Gen AI Engineer GenAI / ML (Python, Langchain) Experience Required: 7–12 Years Role Overview We are seeking a highly experienced Senior Gen AI Engineer to join our engineering team focused on designing, developing, and deploying cutting-edge Generative AI and Large Language Model (LLM) based solutions. This is a hands-on role requiring deep technical expertise in Python, modern AI frameworks, and system-level thinking to translate complex business requirements into scalable and production-ready AI applications. You will play a pivotal role in shaping the GenAI strategy and delivering high-impact solutions for real-world enterprise use cases. Key Responsibilities GenAI System Design & Development: Build intelligent, context-aware systems using frameworks like Langchain and Retrieval-Augmented Generation (RAG). Prompt Engineering & Agent Workflows: Apply advanced prompt engineering and develop agent-based architectures for dynamic user interaction and reasoning. Technical Roadmapping: Collaborate with engineering leadership to define and implement the technical roadmap for GenAI and LLM initiatives. Solution Delivery: Translate business and functional requirements into scalable, robust, and maintainable AI/ML solutions. Cross-Team Collaboration: Work closely with business SMEs, product teams, and data engineers to align model outputs with domain-specific goals. Code & Architecture Excellence: Participate in system design, code reviews, and performance optimization of deployed solutions. Required Skills Proficient in Python, Langchain, and SQL. Deep understanding of LLM internals, including: Prompt tuning Embeddings Vector databases (e.g., FAISS, Pinecone) EMB Global | www.emb.global Agent workflows Strong foundation in Machine Learning or Software Engineering, especially in system design and architecture. Experience working on cloud platforms: AWS, Azure, or GCP. Ability to work autonomously and deliver in cross-functional environments. Strong communication skills, including experience with stakeholder engagement and technical documentation. Preferred Qualifications 1+ years of hands-on experience in LLMs and Generative AI technologies. Demonstrated experience contributing to or leading ML/AI product pipelines and end-to-end deployments. Familiarity with MLOps, CI/CD for ML, and model monitoring in production. Previous exposure to client-facing projects or collaborative work with business units and AI teams.

Job Title: Manager Product Architect Experience: 10+ Years Location: Hyderabad Company: Big4 Mandatory Skills: .Net, Net Core, Azure, Architect, SQL, Gen AI, AI/ML Job Summary: We are seeking an experienced Product Architect to lead the design and architecture of enterprise-grade software solutions. In this hands-on leadership role, you will drive high-impact, scalable products that align with business goals and deliver exceptional user experiences. Youll bring strong architectural expertise, advanced proficiency across modern technologies, and a collaborative spirit to guide engineering teams in building innovative solutions. Key Skills & Qualifications: Bachelors degree in Computer Science or related field (Masters preferred). 10+ years of experience in software development with 5+ years in product/enterprise architecture. Proficient in system design concepts (BCD, sequence/state/ER/DFD diagrams), OOP/OOD, algorithms, and data structures. Hands-on expertise in Angular, React, Node.js, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. Strong cloud-native engineering experience (Azure) with microservices, PaaS, FaaS. Working knowledge of AI/ML and GenAI (3+ years preferred). Deep understanding of Agile/DevOps practices and tools: XP, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube. Strong leadership, mentoring, and cross-functional collaboration skills.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems for Inturai Solve complex problems with real time digital signal data processing (DSP), and optimize existing machine learning libraries and frameworks. Collaborate with product, data scientists, architects, engineers, and SME in integrating and deploying models in production systems. Identify differences in data distribution, operating environment that could potentially affect model performance in real-world applications. Test and Ensure algorithms generate predictable outcomes. Stay up to date with developments in the machine learning industry Responsibilities Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models. Run machine learning tests and experiments, and document findings and results Train/retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers, SMEs to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information). Good math with a deep understanding of probability, statistics, and ML algorithms. In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch. Experience in working with RF/WiFi enabled SBC hardware. Familiarity with data structures, data modeling, and software architecture Impeccable analytical and problem-solving skills Excellent time management and organizational skills Desire to learn Preferred qualifications Bachelors degree (or equivalent) in Electronics, Computer Science, or related field. Proven experience as a machine learning engineer or similar role Experience with Tensor, Python, Java, and R based implementations Experience with Digital signal processing Experience in building and consuming APIs Excellent communication and collaboration skills General knowledge of building machine learning systems Innovative mind with a passion for continuous learning

Role & responsibilities We are looking for Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Description: We are seeking an experienced Data Architect to design and implement our enterprise data architecture, with a focus on Data Warehouse/Data Lake / Data Mesh. This position offers an opportunity to shape the data foundation of our organization, working with cutting-edge technologies and solving complex data challenges in a collaborative environment. Requirements: Bachelor s degree in computer science, Information Systems, or related field; Master s degree preferred 8+ years of experience in data architecture, database design, and data modelling. 5+ years of experience with cloud data platforms, particularly AWS data services 3+ years of experience architecting MPP database solutions (Redshift, Snowflake, etc.) Expert knowledge of data warehouse architecture and dimensional modelling Strong understanding of AWS data services ecosystem (Redshift, S3, Glue, DMS, Lambda) Experience with SQL Server and migration to cloud data platforms Proficiency in data modelling, entity relationship diagrams, and schema design Working knowledge of data integration patterns and technologies (ETL/ELT, CDC) Experience with one or more programming/scripting languages (Python, SQL, Shell) Familiarity with data lake architectures and technologies (Parquet, Delta Lake, Athena) Strong stakeholder management and influencing skills. Experience implementing data warehouse, data lake and data mesh architectures Good to have knowledge of machine learning workflows and feature engineering Understanding of regulatory requirements related to data (Fed Ramp, GDPR, CCPA, etc.) Experience with big data technologies (Spark, Hadoop). About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don t just develop software we shape the future. If you re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let s connect. Competencies

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India s most trusted Cyber security product companies, is on a mission to build the world s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK s Product Suite: CloudSEK XVigil constantly maps a customer s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers attack surfaces. CloudSEKs BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company of the Year. 2021 : Raised $7M in Series A funding led by MassMutual Ventures. Awards & Recognition : Won NetApp Excellerators "Best Growth Strategy Award," CloudSEK XVigil joined NVIDIA Inception Program, and won the NASSCOM Emerge 50 Cybersecurity Award. 2025 : Secured $19 million in funding led by Tenacity Ventures, Commvault. Video Production Assistant / Content Ops Intern About the Role: We re hiring a hands-on Video Production Assistant who can roll up their sleeves and help bring cybersecurity stories to life. From helping shoot product reels to organizing props and syncing subtitles your job is to make execution frictionless . You ll work directly with our lead video creator and help us maintain content velocity across our growing social platforms. This is the perfect role if you re hungry to break into content creation , love being on set, and want to grow in video, branding, or creator marketing. Responsibilities: Assist in all stages of video production from shoot setup to final export Help manage props, gear, lighting, camera angles, and shoot logistics Clip and organize raw footage; add subtitles, b-roll, or music when needed Maintain content libraries, shoot schedules, and publishing queues Help coordinate internal shoots with CloudSEK team members Support in editing reels, formatting content for different platforms You Should Have: Familiarity with CapCut, VN, or Adobe Premiere Pro. Interest in video creation, editing, storytelling, or social content Strong attention to detail and a make it happen attitude Willingness to work flexible hours if a shoot demands it Bonus: If you ve helped a creator before or have your page, even better Impact You ll Drive: Increase CloudSEK s content velocity and reduce execution bottlenecks Free up creative bandwidth of senior creators by owning operations Help us publish faster, better, and more consistently across platforms Benefits of Joining CloudSEK We provide an environment where you can develop and enhance your skills while delivering meaningful work that matters. You ll be rewarded a competitive salary as well as a full spectrum of generous perks and incentives which include: Flexible working hours. Food, unlimited snacks and drinks are all available while at office. And, the finest part is yet to come! Every now and then we ensure to unwind and have a good time together, which involves games, fun, and soulful music. Feel free to show off your artistic side here!

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com . Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com . Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com . Overview: We are seeking a dynamic Product Leader to lead our marketplace initiatives. The ideal candidate has a proven track record in managing data-driven products, with expertise in solving complex data science problems and abstract challenges. This role requires a blend of strategic vision, analytical acumen, and hands-on collaboration with cross-functional teams. Key Responsibilities: Product Lifecycle Ownership: Define and drive the end-to-end product roadmap for our marketplace platform. Data-Driven Decision Making: Collaborate with data science teams to translate complex analytics and machine learning insights into actionable product features. Cross-Functional Collaboration: Work closely with engineering, design, and marketing teams to ensure seamless product development and execution. Market Analysis & Strategy: Conduct market research, user analysis, and competitive assessments to identify growth opportunities. Problem Solving: Tackle abstract, high-level challenges and innovate solutions to optimize user experience and operational efficiency. Qualifications: 8+ years of experience in product management, preferably in marketplace or data-centric environments. Demonstrated ability to work with complex data science problems and abstract, strategic challenges. Strong analytical skills with a deep understanding of data-driven decision making. Excellent communication and collaboration skills. Experience with agile methodologies and cross-functional project management. This role offers the opportunity to shape the future of our marketplace by leveraging advanced analytics and innovative product strategies. The InMobi Culture At InMobi, culture isn t a buzzword; its an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom - guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https: / / www.inmobi.com / company / careers to better understand our benefits, values, and more!

Team Overview: Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology. What you get to do in this role: Generate and evaluate synthetic data tailored to improve the robustness, performance, and safety of machine learning models, particularly large language models (LLMs). Train and fine-tune models using curated datasets, optimizing for performance, reliability, and scalability. Design and implement evaluation metrics to rigorously measure and monitor model quality, safety, and effectiveness. Conduct experiments to validate model behavior and improve generalization across diverse use cases. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies. Participate in the development, deployment, and continuous improvement of end-to-end AI solutions. Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling. Promote modern engineering practices including continuous integration, continuous delivery, and containerized workflows. Key qualifications: 5+ years of experience in machine learning, deep learning, and AI systems. Proficiency in Python and frameworks like PyTorch, TensorFlow, and NumPy. Experience in syntheti

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Associate Director, Tech SME Specialist In this role, you will: Collaborate with stakeholders across the organisation to identify opportunities for leveraging Google cloud solutions. Drive adoption of best practices for Kubernetes adoption, deployment and monitoring using Google cloud platform. Champion the exploration and integration of enterprise services into existing and future solutions. Implement integration technology for both real-time, streaming and batch models. Demonstrate strong understand of API design standards, security and best practices. Conduct research and stay abreast of emerging trends in cloud computing and ML&LLMs translating theoretical concepts into practical applications for our organisation. Partner with engineering teams to implement the designed architecture and ensure proper integration with existing systems. Proactively identify and mitigate potential risks and challenges associated with new technologies and architectural transformations. Effectively communicate complex technical concepts to diverse audiences fostering collaboration and buying across the organisation. Requirements To be successful in this role, you should meet the following requirements: Ten plus years of experience in architecting and designing cloud-based solutions. Strong understanding of Google cloud platform and its core services. Proven experience with machine learning concepts, model development, deployment, and governance. Familiarity with large language models and their potential applications in business context. Expertise in designing and building distributed systems, data pipelines and event driven architectures. Understanding in programming languages like Python and Java Experience with NoSQL and relational databases, data streaming platforms and distributed computing frameworks. Ability to work independently and as part of a cross functional team. Passion for innovation and staying ahead of the curve in the tech landscape. Experience with cloud security best practises and compliance requirements. Familiarity with specific industry related Google cloud solutions and use cases. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Assistant Manager/Deputy Manager - Data Management Department Degree in Engineering /Maths / Comp Science / Business Management/ Data Science Programme/Masters in IT/Management from a recognised institute Experience Assistant Manager/Deputy Manager (No of positions - 01): Work experience of 6-10 years in Depository, Exchanges, Mutual Funds, Clearing Corporation, Depository Participants, Banks & BFSIs Skills Preferred: Good Analytical skills to comprehend data, draw inferences & identifying data patterns. Knowledge of Data Management Tools/software used in developing and monitoring data management practices, improving security, promoting privacy and removing data duplicity. Well versed with programming languages like Python, SQL, SAS, R etc. Familiarity in using data visualization tools like Tableau, PowerBI Understanding the concepts behind Cloud Computing Job Description: Communicating and presenting the results and insights of the data analysis and modelling to various stakeholders, such as managers, clients, and decision-makers. Developing and implementing data governance frameworks, policies, standards, and best practices to ensure data quality, integrity, security, and compliance. Collaborating with business stakeholders, IT teams, and external partners to understand data needs, define data requirements, and deliver data solutions that support business objectives and growth strategies. Should have experience/exposure of software development life cycle from techno-functional standpoint including but not limited to business requirement articulation, gap analysis, impact assessment, testing and QA, implementation, support. Should have inclination to understand business operations, designing and implementing data strategies and systems. Should have the understanding of relevant applications, big data solutions and tools. Applying advanced data analytics, machine learning, and artificial intelligence techniques to generate insights, predictions, and recommendations from data. Should be able to work on data collection, storage, management, quality, protection of data. Should possess very good communication, interaction, presentation and writing skills, positive attitude. Should be self-driven and pro-active in coming up with new ideas for efficient and effective data management.

Mandate 2 - Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter. Founded in 2014 , Swiggy is India s leading tech-driven on-demand delivery platform with a vision to elevate the quality of life for the urban consumer by offering unparalleled convenience. The platform is engineered to connect millions of consumers with hundreds of thousands of restaurants and stores across 500+ cities. Our phenomenal growth has come on the back of great technology, incredible innovation and sound decision-making. The Analytics team at Swiggy partners with decision-makers to solve problems across our entire value chain. Improving menus for our restaurant partners, to developing incentives for delivery executives, recommending the best channel for marketing to consumers and predicting demand in hyperlocal geographies are all examples of the repertoire of projects that we undertake. If decoding hyperlocal excites you then come, join us on this journey. What can you expect? Excellent work environment - rated amongst LinkedIn s - Top Companies Where India wants to work now list Exposure to challenging problems across multiple domains Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organisation Interact with people from various backgrounds - a mix of Statisticians, Consultants, and Programmers Flat organization structure with open and direct culture 6. Merit-based fast-growth environment Market-leading compensation and benefits What do you need to have? Bachelors degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field Minimum 1 yrs of core Analytics experience. Experience in analytics/data science or related field Hands-on experience on data manipulation tools like SQL, R, Python, Excel etc. Exposure to BI Platforms like Power BI, Tableau etc. Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.) Basic knowledge of machine learning techniques like Regression, Classification etc. What do we expect from you? Creative and structured thinking to solve real-world problems Fail fast, learn faster approach Comfortable in a high-energy, fast-paced environment Proficient verbal and written communication skills Detail-oriented with the ability to self-direct work in an unstructured environment Excellent partnership and collaboration skills with the ability to work cross-functionally Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines What will you work on? Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed Monitor and forecast key business metrics regularly Conduct regular planning and reviews key performance metrics and aid in benefitting from change Identify the right metrics to track progress against a given business goal Design, run and measure experiments to test business hypotheses Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms Develop compelling stories with business insights, focusing on the strategic goals of the organization Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.

FCSD Tech - Full Stack Software Engineer At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow s transportation. Ford Customer Service Division, within Ford, is committed to provide our customers the Always On experience and our mission is to get our customers back on the road, in the shortest possible time. FCSD Tech delivers world class software that our Dealers use to Diagnose, Repair & Service our vehicles Customers use for a seamless Service experience Ford enterprise uses to run a highly Profitable, Critical and Complex Parts & Service business FCSD is a true one-stop shop, offering comprehensive Diagnostics, Repair & Service Capabilities for a full portfolio of Electrified, Hybrid and Internal combustion vehicles globally. FCSD Tech is looking for Software Engineers that embrace Agile-eXtreme Programming principles to deliver innovative software products for Ford Motor Company and our Dealers and Customers. What you ll be able to do: Engineer production-quality code to deploy these solutions in a serverless, microservices architecture Enhance testing platforms, improve test automation, foster software craftsmanship Surprise and delight customers and partner software engineers Monitor and evaluate the performance of our solutions Collaborate with multi-skilled teams working on commercial/fleet software solutions Engage in Test-first Development, Test Driven Development Cloud development using cutting-edge technologies and integrations with Ford enterprise systems The minimum qualifications we seek: Bachelor s degree in computer science or equivalent 3+ years of experience with: Core Java, Spring boot, React.js Modern databases (Relational and non-relational) Continuous integration/continuous delivery tools and pipelines, such as: (Jenkins, Terraform, SonarQube, Maven, Gradle, Harness, Apigee X) 1+ years of experience developing and deploying to cloud platforms, such as Google Cloud Platform, Pivotal Cloud Foundry, and Microsoft Azure Experience with Unit testing. What you ll receive in return: As part of the Ford family, you ll enjoy a dynamic work environment, world class facility in Chennai that includes Gym, Creche, Badminton Court, Cricket arena, Amphitheatre and much more; excellent compensation and a comprehensive benefits package. You ll also experience exciting opportunities for professional and personal growth and recognition. If you have what it takes to help us redefine the future of mobility, we d love to have you join us! We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. Our preferred qualifications: Master s Degree in Computer Science or related field Deep understanding of Object-Oriented Design Principles Familiar with eXtreme Programming (XP) practices including Pair/Mob programming and Test-first/Test Driven Development (TDD) Experience with developing and deploying to cloud platforms, such as Google Cloud Platform, Pivotal Cloud Foundry, Amazon Web Services, and Microsoft Azure Experience with Spring/Spring Boot and RESTFUL Web services development Experience with machine learning, mathematical modelling and data analysis is a plus Knowledge of SQL and NoSQL databases Experience with CA Agile Central (Rally), backlogs, iterations, user stories, or similar Agile Tools Highly effective in working with other technical specialists, Product Managers, UI/UX Designers and business partners Passion for learning and willingness to work in a pair programming environment Strong analytical and problem-solving skills Strong oral and written communication skills Ability to multi-task and manage changing priorities Strong teamwork and interpersonal skills Ability to work independently and take initiative when solving unexpected problems Understanding of fundamental data modelling Experience in development of microservices What you ll be able to do: Engineer production-quality code to deploy these solutions in a serverless, microservices architecture Enhance testing platforms, improve test automation, foster software craftsmanship Surprise and delight customers and partner software engineers Monitor and evaluate the performance of our solutions Collaborate with multi-skilled teams working on commercial/fleet software solutions Engage in Test-first Development, Test Driven Development Cloud development using cutting-edge technologies and integrations with Ford enterprise systems

Overview: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues. Performs very complex data science work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Designs, builds, and analyzes large (e.g. 100 s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include snowflake and databricks. Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring / diagnosis / resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs. Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.). Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics-Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions. Key Skills: Python, R, Scala, Generative AL, Credit, Modele development, Fraud, tiral analysis, Machine Learning (ML), Snowflake, databricks, Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML Job ID R-72967 Date posted 06/30/2025

Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap , which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-e ective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the teams workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies , such as Kubernetes or Docker containers. Experience with large language models (GPT-4, Pathways, Google Bert, Transformer) and deep learning tools ( TensorFlow, Torch ). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users , other technical teams, and product management to understand requirements, describe software product features, and technical designs . Nice to have: Experience in directly managing a team of high calibre machine learning engineers and data scientists. Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI! Why Youll Love Sprinklr: Were committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the worlds largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we re more innovative, creative, and successful. Sprinklr 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. See also Sprinklr s EEO Policy and EEO is the Law.

Job Summary NetApp is seeking an AI engineer to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key AI engineer in this initiative, the candidate will be responsible for independently developing and deploying LLM-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data governance and compliance. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today. Job Requirements Lead the development and deployment of AI/ML systems for Data governance with techniques from the realm of classical Machine learning, Generative AI and AI agents. Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations. Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences. Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap. Ensure scalability, reliability, and performance of AI models in production environments. Have a customer-focused mindset and build AI/ML products that delight our customers. Represent NetApp as an innovator in the machine learning community and promote the companys product capabilities in industry/academic conferences. Required and Preferred Qualification Required Qualification Master s degree in computer science / applied mathematics/statistics/data science or equivalent experience. Strong expertise in data science fundamentals and model evaluations. Solid understanding of supervised and unsupervised machine learning algorithms (machine learning and deep learning). 4-8 years of experience of optimizing and shipping machine learning and deep learning models to production. Demonstrated proficiency in using large language models, prompting techniques, fine-tuning and knowing when not to use LLMs. Proficiency in Python and at least one modern ML framework such as PyTorch / Tensorflow or transformers. Excellent communication and collaboration skills, with a demonstrated ability to work effectively with cross-functional teams and organizational stakeholders. Preferred Qualification Curiosity and tinkering with AI agents or multi-agent systems with agentic AI frameworks (Langgraph, LlamaIndex, crewai, smolagents etc.). Understanding of data governance, security policies, and compliance frameworks. Applied knowledge of MLOps / LLMOps practices, CI/CD pipelines, cloud platforms and ML systems lifecycle management. Experience of representing their work or company in AI/ML conferences. Publications or contributions to AI/ML community related to NLP or data governance. Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements