Tcs is Hiring For Senior Data Scientist--Virtual Drive --21-Sep

Job description

Exp Must be 6 to 10 Years Virtual Drive on 21 Sep 26 Prefered Location -- Pune,Bengaluru,NCR,Kolkata Job Requirements\\* • Designed, developed, and deployed Machine Learning and Deep Learning models for industrial challenges involving large-scale numerical, categorical, and time series data, as well as images and videos. • Extensive experience in Python programming for statistical analysis, custom algorithm development, and business insight generation using ML/DL models. • Proficient in optimization techniques including Genetic Algorithms, Linear and Quadratic Programming, and others • Skilled in comprehensive data workflows: collection, exploratory analytics, data cleansing, feature selection, and model validation. • Experience in deploying AI/ML solutions using MLOPs on cloud platforms such as Azure and AWS. • Solid knowledge of NLP, Large Language Models, Retrieval-Augmented Generation, and ML algorithms such as Decision Trees, Clustering, Support Vector Machines, Artificial Neural Networks, LSTM, CNN, and YOLO, with awareness of their practical advantages and limitations. • Motivated by continuous learning and mastery of emerging technologies and methodologies in the fields of artificial intelligence and machine learning. Key Responsibilities\\* • Lead end to end design, development, and deployment of ML/DL solutions for complex business and industrial problems involving structured, time series, and unstructured data. • Define modeling strategies and technical approaches, selecting appropriate ML, DL, Computer Vision, Optimization, and LLM techniques based on problem constraints and business impact. • Oversee data science lifecycle governance, including data acquisition, exploratory analysis, feature engineering, model validation, and performance monitoring. • Drive production grade deployment through MLOps, ensuring scalable, secure, and reliable model operations on cloud platforms such as Azure and AWS. • Lead development of advanced analytics and optimization solutions, translating business objectives into prescriptive and decision support models. • Provide technical leadership and mentoring to data science teams, establishing best practices in Python engineering, experimentation, and model reliability. • Collaborate with stakeholders to translate business needs into AI solutions, clearly communicating assumptions, risks, outcomes, and measurable value. • Continuously evaluate emerging AI/ML and LLM technologies, driving innovation, POCs, and capability building aligned with organizational strategy. Domain • Oil & Gas, Manufacturing, Pharma, Finance Soft Skills • Excellent communication • Team collaboration • Documentation and knowledge sharing • Agile Way of Working Education Requirements B.Tech/ M.Tech (Chemical, Computer Science, Mechanical, Aerospace, Electrical Engineering) Certifications Optional