9814 Tensorflow Jobs - Page 32

Your Position You will work as a Data Engineer with Machine Learning expertise in the Predictive Maintenance team. This hybrid and multi-cultural team includes Data Scientists, Machine Learning Engineers, Data Engineers, a DevOps Engineer, a QA Engineer, an Architect, a UX Designer, a Scrum Master, and a Product Owner. The Digital Service Platform focuses on optimizing customer asset usage and maintenance, impacting performance, cost, and sustainability KPIs by extending component lifetimes. In your role, you will: Participate in solution design discussions led by our Product Architect, where your input as a Data Engineer with ML expertise is highly valued. Collaborate with IT and business SMEs to ensure delivery of high-quality end-to-end data and machine learning pipelines. Your Responsibilities Data Engineering Develop, test, and document data (collection and processing) pipelines for Predictive Maintenance solutions, including data from (IoT) sensors and control components to our data platform. Build scalable pipelines to transform, aggregate, and make data available for machine learning models. Align implementation efforts with other back-end developers across multiple development teams. Machine Learning Integration Collaborate with Data Scientists to integrate machine learning models into production pipelines, ensuring smooth deployment and scalability. Develop and optimize end-to-end machine learning pipelines (MLOps) from data preparation to model deployment and monitoring. Work on model inference pipelines, ensuring efficient real-time predictions from deployed models. Implement automated retraining workflows and ensure version control for datasets and models. Continuous Improvement Contribute to the design and build of a CI/CD pipeline , including integration test automation for data and ML pipelines. Continuously improve and standardize data and ML services for customer sites to reduce project delivery time. Actively monitor model performance and ensure timely updates or retraining as needed. Your Profile Minimum 4 years' experience building complex data pipelines and integrating machine learning solutions. Bachelor's or Master's degree in Computer Science, IT, Data Science, or equivalent. Hands-on experience with data modeling and machine learning workflows . Strong programming skills in Java , Scala , and Python (preferred for ML tasks). Experience with stream processing frameworks (e.g., Spark) and streaming storage (e.g., Kafka). Proven experience with MLOps practices, including data preprocessing, model deployment, and monitoring. Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow). Proficient in cloud platforms (preferably Azure and Databricks). Experience with data quality management , monitoring, and ensuring robust pipelines. Knowledge of Predictive Maintenance model development is a strong plus. What Youll Gain Opportunity to work at the forefront of data-driven innovation in a global organization. Collaborate with a talented and diverse team to design and implement cutting-edge solutions. Expand your expertise in data engineering and machine learning in a real-world industrial setting. If you are passionate about leveraging data and machine learning to drive innovation, wed love to hear from you!

Role Summary We are looking for a passionate Python developer to work on football video and data analytics systems using computer vision and deep learning. Key Responsibilities Build pipelines for video ingestion, object tracking, and tactical data extraction Apply CV models to game scenarios (e.g., player recognition, heatmaps, motion vectors) Collaborate with football analysts to translate tactical needs into technical tools Requirements 3+ years of Python development experience Proficiency with OpenCV, PyTorch, TensorFlow, and real-time inference systems Familiarity with YOLO, segmentation models, sports analytics tools a big plus Strong passion for football and understanding of tactics, formations, and gameplay

Associate Project Manager – AI/ML , Java, Dot Net Experience: 8+ years (including 3+ years in project management) Notice Period: Immediate to 15 days Location: Coimbatore / Chennai 🔍 Job Summary We are seeking experienced Associate Project Managers with a strong foundation in AI/ML project delivery. The ideal candidate will have a proven track record of managing cross-functional teams, delivering complex software projects, and driving AI/ML initiatives from conception to deployment. This role requires a blend of project management expertise and technical understanding of machine learning systems, data pipelines, and model lifecycle management. ✅ Required Experience & Skills 📌 Project Management Minimum 3+ years of project management experience, including planning, tracking, and delivering software projects. Strong experience in Agile, Scrum, and SDLC/Waterfall methodologies. Proven ability to manage multiple projects and stakeholders across business and technical teams. Experience in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart. 🤖 AI/ML Technical Exposure (Must-Have) Exposure to AI/ML project lifecycle: data collection, model development, training, validation, deployment, and monitoring. Understanding of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). Familiarity with MLOps practices, model versioning, and CI/CD pipelines for ML. Experience working with data scientists, ML engineers, and DevOps teams to deliver AI/ML solutions. Ability to translate business problems into AI/ML use cases and manage delivery timelines. 🧩 Leadership & Communication Strong leadership, decision-making, and organizational skills. Excellent communication and stakeholder management abilities. Ability to influence and gain buy-in from executive sponsors and cross-functional teams. Experience in building and maintaining relationships with business leaders and technical teams. 🎯 Roles & Responsibilities Lead AI/ML and software development projects from initiation through delivery. Collaborate with data science and engineering teams to define project scope, milestones, and deliverables. Develop and maintain detailed project plans aligned with business goals and technical feasibility. Monitor progress, manage risks, and ensure timely delivery of AI/ML models and software components. Coordinate cross-functional teams and ensure alignment between business, data, and engineering stakeholders. Track project metrics, ROI, and model performance post-deployment. Ensure compliance with data governance, security, and ethical AI standards. Drive continuous improvement in project execution and delivery frameworks. Stay updated on AI/ML trends and contribute to strategic planning for future initiatives.

Job purpose: Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java/Node.js/NET to build robust, high-performance solutions that integrate with enterprise systems. Who You Are: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus. 10+ years of experience in AI/ML development, with at least 2 years working on LLMs or NLP. Proven expertise in end-to-end system design and deployment of production-grade AI systems. Hands-on experience with Java/Node.js/.NET for backend development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Key Responsibilities: 1. Model Development & Training: Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification. Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face. 2. Prompt Engineering: Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems. Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency. 3. End-to-End System Design: Architect scalable, secure, and fault-tolerant AI/ML systems, integrating LLMs with backend services and APIs. Develop microservices-based architectures using Java/Node.js/.NET for seamless integration with enterprise applications. Design and implement data pipelines for preprocessing, feature engineering, and model inference. 4. Integration & Deployment: Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP). Build RESTful or GraphQL APIs to expose AI capabilities to front-end or third-party applications. 5. Performance Optimization: Optimize LLMs for latency, throughput, and resource efficiency using techniques like quantization, pruning, and model distillation. Monitor and improve system performance through logging, metrics, and A/B testing. 6. Collaboration & Leadership: Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives. Mentor junior engineers and contribute to best practices for AI/ML development. What will excite us: Strong understanding of LLM architectures and prompt engineering techniques. Experience with backend development using Java/Node.js (Express)/.NET Core. Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD). Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. What will excite you: Lead AI innovation in a fast-growing, technology-driven organization. Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications. Engage with top-tier enterprise clients and drive AI transformation at scale. Location: Ahmedabad

Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problemsolving scenarios

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

🚀 We’re Hiring: Data Scientist – Team Lead (AI/ML) 🚀 📍 Location: Ahmedabad, Gujarat (On-site) 💼 Experience: 4 to 7 Years Are you passionate about turning data into actionable insights? We are looking for a highly skilled Data Scientist – Team Lead to drive AI/ML initiatives and lead our talented data team. Key Responsibilities: Lead and mentor a team of Data Scientists & ML Engineers Design, develop, and deploy AI/ML models for real-world applications Collaborate with cross-functional teams to solve complex business problems Ensure best practices in data preprocessing, model training, and evaluation Required Skills: ✅ Strong background in Machine Learning, Deep Learning, and NLP ✅ Proficiency in Python, R, TensorFlow, PyTorch, or similar frameworks ✅ Hands-on experience with data pipelines, feature engineering & big data tools ✅ Excellent leadership, problem-solving & communication skills Why Join Us? 🌟 Opportunity to work on innovative AI/ML projects 🌟 Collaborative & growth-oriented work culture 🌟 Competitive salary & benefits 📩 Apply Now – Send your resume to ansuya.ghosh@nexuslinkservices.in

About the Company At Quantanite, we’re reimagining customer experience through a blend of human insight and cutting-edge AI. As a fast-growing CX solutions partner for global brands, we leverage automation, data science, and deep domain expertise to deliver seamless experiences and exceptional outcomes. Join our ambitious, cross-continent team and help us build the next-generation AI platform that powers smarter hiring, richer analytics, and transformative business impact. About the Role Drive end-to-end design, implementation & deployment of AI-powered data solutions on Azure (Data Factory, Databricks/Spark, Data Lake, Synapse). Responsibilities Architecture & Development Build robust data pipelines: crawling unstructured sources → ETL → fact tables → data quality checks → vector embeddings. Integrate and manage multiple data sources (APIs, flat files, enterprise apps) into a unified data lake. AI & ML Innovation Research, prototype & productionize Machine Learning, NLP, Deep Learning, Image/Speech Recognition models to extract insights from text, voice & images. Leverage Vector DBs (FAISS, ChromaDB, Pinecone, Weaviate) and Feature Stores for high-performance semantic search and retrieval. MLOps & Scale Containerize (Docker/Kubernetes) and automate CI/CD pipelines for models & services. Enforce best practices for security, performance, observability & reproducibility. Leadership & Collaboration Partner with Product, Data Engineering & SMEs to align technical solutions with business goals. Mentor, review & uplift fellow engineers; champion code quality, documentation & agile delivery. Qualifications 5+ years’ experience in full-stack AI/ML engineering, with 3+ years on Azure data technologies Bachelor’s/Master’s in Computer Science or related; PhD a strong differentiator Required Skills Strong Python expertise plus familiarity with ML frameworks (TensorFlow, PyTorch) Hands-on with Azure: Data Factory, Databricks/Spark (or Fabric), Data Lake Gen1/2, Synapse/SQL DW Deep understanding of statistical modeling, NLP, deep learning and vector-search architectures Proficient in data storage: RDBMS (MySQL, SQL Server), NoSQL (MongoDB, Cassandra), plus Vector DBs Solid software engineering: API/Web-services integration, Git, Eclipse/Enterprise Architect, UML & architecture blueprints Experience with agile methodologies (Scrum, XP, RUP) in Outsourcing/BPO environments is a plus Excellent communication skills and comfort engaging stakeholders at all levels Preferred Skills Experience with agile methodologies (Scrum, XP, RUP) in Outsourcing/BPO environments is a plus Why Quantanite? Impact & Visibility: Your AI models will power features used daily by recruiters and enterprise clients worldwide. Career Acceleration: Personal development plans, mentorship, conference sponsorships & certification support. Culture & Flexibility: Work from anywhere in India, dress how you like, and balance life with generous PTO and wellness perks. Community & Events: Regular hackathons, tech talks, team offsites and a truly inclusive “We Build Better. Together.” ethos. Ready to Innovate? Reach out to us today

Greeting from Leadsoc Technologies _ Hyderabad Position: AI Engineer & Validation Skills: Machine learning fundamentals, including deep learning,large language models , and recommender systemsLLLM. Strong background in validation, defect and software development life cycle Strong knowledge on ubuntu / yocto linux Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Experience in profiling ML workloads Prior experience in executing validation plans for AI/ML compute stacks s uch as HIP, CUDA, OpenCL, OpenVINO, Strong background in python programming. Experience : 3-6 Years Notice period: 0- 15 days Regards Murali

🚨 We're Hiring! Senior Data Scientist | Indore | C2H 🚨 Are you passionate about LLMs, RAG architecture, and building intelligent AI-driven chatbots? We’re on the lookout for a talented Senior Data Scientist (5+ years experience) to join our team and work on cutting-edge solutions involving Large Language Models, Retrieval-Augmented Generation, and MySQL-backed chatbot development. 📍 Location: Indore (Hybrid/Onsite) 💼 Engagement Type: Contract to Hire (C2H) 🧠 Key Skills: ✔️ LLMs (GPT, LLaMA, Claude, etc.) ✔️ RAG, LangChain, OpenAI API ✔️ Python, PyTorch/TensorFlow ✔️ MySQL, FAISS/Pinecone/Weaviate ✔️ AI chatbot development & deployment (Docker, Kubernetes, Cloud) 🔍 If you have hands-on experience in fine-tuning transformer models, building custom embeddings, and working with vector databases, this is a golden opportunity to shape next-gen AI products. 💬 Interested or know someone who might be? 📩 DM me or share your resume at nehasisodiya@orbioninfotech.com #DataScience #LLMs #RAG #Hiring #IndoreJobs #AIJobs #LangChain #OpenAI #ChatbotDevelopment #C2H #SeniorDataScientist

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibility Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications BE/BTech. Data Scientist with a solid foundation in AI, machine learning, and deep learning technologies Experience in implementing RAG architectures and computer vision projects Expertise in deploying predictive analytics models and generative AI solutions using Python, TensorFlow, and Keras Proficient in cloud platforms such as Azure, AWS with a solid emphasis on fine-tuning LLMs for various applications Proven track record in leading successful projects and driving data-driven decisions At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Join Avoma and contribute to solving challenging NLP problems with the goal of enhancing the productivity of meetings. Avoma's intelligent meeting assistant aids professionals in gaining insights and automating common tasks necessary for business meetings. By utilizing cutting-edge NLP techniques, we aim to summarize meeting notes, extract key topics, and identify action items, enabling our users to focus on accomplishing their objectives effectively. As a Deep Learning / NLP Engineer at Avoma, you will be tasked with enhancing and constructing algorithms that extract crucial insights and topics from conversations. This role involves applying state-of-the-art NLP techniques to address complexities such as identifying various topics of interest and condensing meeting transcripts into concise notes using our insights engine. Responsibilities at Avoma include improving the Insights Engine, developing new models for production, collaborating with the engineering team to deploy models to customers, and staying abreast of the latest advancements in NLP research. Additionally, you will work with large datasets comprising over a million documents, develop and enhance Deep Learning models in TensorFlow, and apply advanced LLMs to solve intricate tasks. Requirements: - Minimum of 4+ years of experience in Machine Learning & NLP within a production environment - Proficiency in Python development and debugging - Familiarity with GPT, Claude, Gemini, or similar LLMs - Experience in developing and deploying scalable, high-performing, and clean code - Competence in training Deep Neural Networks - Proficiency in TensorFlow, PyTorch, or equivalent frameworks - Strong communication skills, both written and verbal - Demonstrated curiosity, self-motivation, and enthusiasm for tackling challenging problems Benefits: - Transparent salary structure ranging from INR 30,00,000 to INR 40,00,000, depending on experience - Stock Option Plan - Dynamic and collaborative work environment - Paid Time Off for Vacation, Sick Leave, and Public Holidays,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for leveraging your deep expertise in data science and supply chain analytics to engage with global Supply Chain Leaders. Your role will involve defining analytical solutions that optimize processes, provide predictive insights, and facilitate strategic decision-making within the supply chain ecosystem. To excel in this role, you should possess a Master's degree with at least 6 years of experience in Supply Chain Analytics/Data Science, or a Graduate degree with 7+ years of relevant experience. You will be based in Bangalore, India, with flexibility to work from offices in Chennai, Pune, NCR, or Kolkata based on your preference. Key responsibilities include leading client engagements, mentoring teams, and designing advanced analytics solutions for various supply chain functions such as demand forecasting, inventory optimization, and procurement analytics. You will also be involved in developing sustainable analytical tools, overseeing technical solution architecture, and driving adoption of modern data architectures. The ideal candidate will have a deep understanding of supply chain functions, strong programming skills in Python/R, proficiency in SQL for data querying, and experience with machine learning algorithms and visualization tools such as Tableau. Additionally, leadership, consulting, and technical competencies are essential for success in this role. At Tredence, you will have the opportunity to work in a highly impactful role, take ownership of projects, and grow both thought leadership and operational leadership capabilities. You will collaborate with industry-leading talent, receive substantial performance-based compensation, and access cutting-edge analytics tools and methodologies. If you are passionate about leveraging data to drive business value and possess a growth mindset along with strong analytical, technical, and leadership skills, we welcome you to join us at Tredence on our innovative journey.,

You are a highly skilled and experienced Python Developer with over 3 years of professional experience, seeking an exciting opportunity in the field of Machine Learning and AI. You will be joining our dynamic team at Chicmic Studios, where you will be responsible for developing and maintaining web applications using Django and Flask frameworks. Your expertise in deploying and managing applications on AWS will be crucial for optimizing performance and reliability. As a Python Machine Learning & AI Developer, your key responsibilities will include designing and implementing RESTful APIs using Django Rest Framework (DRF), integrating APIs for AI/ML models into existing systems, and creating scalable machine learning models using frameworks like PyTorch and TensorFlow. You will also be implementing transformer architectures for NLP and other advanced AI use cases, optimizing machine learning models through techniques such as hyperparameter tuning, and deploying them in production environments using tools like TensorFlow Serving and AWS SageMaker. To excel in this role, you must have a Bachelor's degree in Computer Science, Engineering, or a related field, along with a strong understanding of Python and its ecosystem. Your extensive experience with Django and Flask frameworks, AWS services, Django Rest Framework (DRF), and machine learning frameworks such as PyTorch and TensorFlow will be essential. Additionally, familiarity with SQL and NoSQL databases, MLOps practices, and front-end technologies will be beneficial. You should possess excellent problem-solving skills, the ability to work independently and collaboratively, and strong communication skills to effectively articulate complex technical concepts to non-technical stakeholders. Staying up-to-date with the latest industry trends and technologies, particularly in AI/ML, will be essential for delivering effective technical solutions and ensuring the success of our projects. If you meet the requirements and are passionate about leveraging Python, Machine Learning, and AI technologies to drive innovation, we encourage you to apply for this full-time position at Chicmic Studios, located at F273, Phase 8b Industrial Area Mohali, Punjab. Kindly contact us at 9875952836 for further details. Application Questions: - What is your Native & Current Location - What is your Highest Qualification Experience: - AI & ML: 2 years (Required) Work Location: In person,

Senior AI Engineer – Computer Vision Location: Remote | Full-Time We’re on a mission to build world-class AI and robotics technologies from the heart of Saudi Arabia to the world. As we expand our in-house AI capabilities, we’re looking for a Senior AI Engineer who lives and breathes Computer Vision to join our growing team of innovators. What You’ll Do Lead the design, training, and deployment of computer vision models across various robotics and AI platforms. Solve real-world challenges in image recognition, object detection, tracking, and scene understanding. Collaborate with robotics engineers and product teams to integrate CV models into autonomous systems. Research and implement state-of-the-art techniques in deep learning and vision-based AI. Optimize models for edge devices and real-time processing. What We’re Looking For 5+ years of experience in AI/ML with a strong focus on Computer Vision. Proven experience with frameworks like TensorFlow, PyTorch, and OpenCV. Hands-on experience with CNNs, Transformers, YOLO, segmentation, and real-time inference. Strong Python skills and experience deploying models to production. Bonus: Experience working with robotics, embedded systems, or real-time CV applications.

We are seeking an experienced Full Stack Developer to join our team and contribute to the development and maintenance of secure and scalable applications. As the ideal candidate, you should have practical knowledge of both front-end and back-end technologies, with a focus on React and Python. Your primary responsibilities will involve collaborating with the team to create and optimize web applications that can efficiently handle large-scale data and AI-driven solutions. Your duties will include developing and maintaining web applications using React for the frontend, Python for the backend, and integrating AI/ML solutions. You will be tasked with designing, constructing, and enhancing scalable backend systems, as well as working with event streaming technologies to manage substantial data, including videos and images. Ensuring application performance, quality, and responsiveness, troubleshooting and debugging to optimize performance, and writing clean, maintainable, and scalable code will also be part of your role. Additionally, you will collaborate with the DevOps team on deploying, monitoring, and maintaining applications. To qualify for this position, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, along with a minimum of 3 years of experience as a Full Stack Developer. Proficiency in React for the frontend, Python for the backend, experience with event streaming technologies, and knowledge of backend system design and development are essential. Familiarity with databases, APIs, cloud platforms, version control, CI/CD pipelines, and strong problem-solving and debugging skills are also required. Preferred qualifications include experience with AI/ML frameworks and integrations, real-time data processing, microservices architecture, and containerization technologies. If you are looking to work in a fast-paced environment, collaborate effectively with cross-functional teams, and contribute to the development of cutting-edge applications, we encourage you to apply for this exciting opportunity.,

You have over 5 years of experience in building production-grade Neural Network models using Computer Vision or Natural Language Processing techniques. You possess a strong understanding of various machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks. Experience with Deep Learning frameworks like TensorFlow, PyTorch, and MxNet is part of your skillset. Proficiency in common data science toolkits such as R, Sklearn, NumPy, MatLab, and MLib is highly desirable. Additionally, you have solid applied statistics skills encompassing distributions, statistical testing, and regression. Your expertise extends to using query languages like SQL, Hive, Pig, and NoSQL databases. In this role, you will collaborate with Product Managers, Architects, and Engineering Leadership to conceptualize, strategize, and develop new products focused on AI/ML initiatives. You will be responsible for developing, driving, and executing the long-term vision and strategy for the Data Science team by engaging with multiple teams and stakeholders across the organization. Your tasks will involve architecting, designing, and implementing large-scale machine learning systems. Specifically, you will develop Neural Network models for information extraction from mortgage documents using Computer Vision and NLP techniques. Ad-hoc analysis and clear presentation of results to various audiences and key stakeholders will be part of your routine. You will also design experiments, test hypotheses, and build models while conducting advanced data analysis and highly complex algorithm designs. Applying advanced statistical, predictive, and machine learning modeling techniques to enhance multiple real-time decision systems will be a key aspect of your role. You will collaborate with development teams to deploy models in the production environment to support ML-driven product features. Furthermore, you will define business-specific performance metrics to assess model effectiveness and continuously monitor and enhance these metrics over time for models in a production environment. To qualify for this position, you should hold an M.S. in mathematics, statistics, computer science, or a related field, with a Ph.D. degree being preferred. You must have over 5 years of relevant quantitative and qualitative research and analytics experience. Excellent communication skills and the ability to effectively convey complex topics to a diverse audience are essential attributes for this role.,

As a Python AI/ML Developer with 4-5 years of experience, your main responsibility will be to design, develop, and maintain Python applications while ensuring code quality, efficiency, and scalability. You will collaborate with cross-functional teams to understand project requirements and deliver solutions that align with business objectives. Implementing AI/ML algorithms and models to solve complex problems and extract valuable insights from data will be a key part of your role. Additionally, you will be developing and maintaining RESTful APIs to integrate Python applications with other systems. It is essential to stay updated with the latest trends and technologies in Python development and AI/ML. To excel in this role, you should have a strong proficiency in Python programming, including object-oriented programming and design patterns. Experience with popular Python libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch is required. Knowledge of AI/ML concepts, algorithms, and techniques, including supervised and unsupervised learning, is crucial. Experience working with data pipelines and ETL processes is beneficial, and hands-on experience with chatbot applications is necessary. Excellent problem-solving and analytical skills are essential, along with the ability to work independently and as part of a team. Strong communication and documentation skills are also important. Preferred qualifications include experience with cloud platforms such as AWS, GCP, or Azure, knowledge of natural language processing (NLP) or computer vision, experience with machine learning deployment and operationalization, and contributions to open-source Python projects. Stay updated with the latest advancements in technology to enhance your skills and contribute effectively to the development of innovative solutions.,

You will be responsible for developing and implementing machine learning models to address business challenges, such as classification, regression, clustering, and recommendation systems. Your role will involve building and overseeing complete data science pipelines, encompassing data preprocessing, feature engineering, model creation, and deployment. Collaborating with diverse teams will be essential to seamlessly integrate models into operational environments. Your focus will be on ensuring that models are scalable, precise, and in line with business objectives. Additionally, you will work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuous evaluation and enhancement of model performance will be crucial to ensure solutions remain current with the latest AI/ML advancements. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field. A minimum of 3+ years of practical experience in data science and machine learning is required. Proficiency in Python is essential, along with a strong background in utilizing libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in constructing and deploying machine learning models in live environments is essential. Familiarity with NLP techniques and deep learning models, including CNNs, RNNs, and Transformers like LLMs for classification and sentiment analysis, is crucial. Any exposure to cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) would be advantageous. Strong analytical and problem-solving abilities are necessary, particularly when working with extensive and intricate datasets. Effective communication skills are also key in this role. This position offers an exciting opportunity to leverage your expertise in data science and machine learning to develop innovative solutions that drive business success while staying at the forefront of AI/ML developments.,

You will be working for a global IT leader that specializes in IT consulting, business process management, and digital transformation across various industries such as finance, healthcare, energy, and telecom. With a workforce of over 250,000 employees in more than 50 countries, the company is known for its domain expertise, innovation, and commitment to sustainability and corporate social responsibility. Headquartered in Bengaluru, India, it is a preferred partner for digital transformation initiatives. Your responsibilities will include conducting statistical analysis using R, Python, or Excel, and creating presentations/keynotes based on the findings. You will be responsible for ensuring timely and accurate data availability for analytical assignments, meeting project deadlines, and communicating progress effectively to stakeholders. Additionally, you will perform exploratory data analysis, develop Excel models, conduct forecasting analysis, and maintain data integrity throughout the process. Utilizing AI/ML technologies for advanced analytics will also be a part of your role. To excel in this position, you are required to have at least 5 years of experience in Maps Operations or Production, with a minimum of 3 years in an Individual Contributor role. Proficiency in AI/ML technologies like TensorFlow, Keras, or PyTorch is essential, along with strong GIS skills using tools such as ArcGIS, QGIS, or OpenLayers. Expertise in SQL/PostgreSQL for spatial and big data analysis and the ability to apply map specifications for enhancements are crucial. Familiarity with Process Engineering and Continuous Improvement techniques will be advantageous. Being detail-oriented, having hands-on experience in data analysis tools, possessing strong communication skills, and the ability to lead analytical reviews using manual and automated checks are also critical skills required for this role.,

Matellio is hiring a skilled and visionary AI Lead to drive development of advanced AI solutions. This is a dual role involving both technical leadership and hands-on development —perfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies. Key Responsibilities: Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment. Design and own both high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaborate with sales and business development teams to create technical proposals , including solution design , architecture diagrams , and high-level estimates for Sales Qualified Leads (SQLs). Work as an individual contributor when needed, developing key components of the solution to accelerate delivery and set best practices. Research, design, and implement machine learning and deep learning models, including fine-tuning and deploying LLMs (e.g., GPT, BERT) for production use cases. Build NLP pipelines and retrieval-augmented generation (RAG) systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate). Apply statistical techniques to feature engineering, model evaluation, and performance optimization. Ensure adherence to code quality, testing, CI/CD, and documentation standards. Stay current with AI/ML advancements and proactively propose innovative solutions. Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture. Required skills and qualifications: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. 7+ years of hands-on experience in AI/ML model development and deployment. Proven experience in leading technical teams and delivering production-grade AI/ML solutions. Strong architectural skills with experience designing end-to-end solutions involving cloud, APIs, and ML models. Demonstrated experience supporting technical pre-sales efforts through proposals, estimates, and client presentations. Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn. Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs , and building GenAI solutions. Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone). Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them. Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines. Exposure to cloud platforms such as AWS, GCP, or Azure. Excellent analytical thinking, problem-solving, and communication skills.