JOB DESCRIPTION
The job description includes developing, testing, and deploying AI/ML models and applications, often using cloud services and generative AI models. Key responsibilities involve data preprocessing, model optimization, and collaborating with cross-functional teams to ensure production-ready quality in applications that can include deep learning, chatbots, and image processing.
Core responsibilities:
Required skills and experience
1) Technical Proficiency:
Expertise in programming languages like Python, and machine learning libraries such as scikit-learn, TensorFlow, PyTorch and LangChain.
2) Machine Learning & Statistics:
Strong understanding of statistical analysis, machine learning, vectorization, retrieval augmented generation, Gen AI concepts and model evaluation.
3) Data Handling:
Experience with data manipulation, feature engineering, and handling large datasets.
4) Software Engineering:
Knowledge of software architecture, data structures, and algorithms.
5) Cloud & AI:
Experience with cloud AI services (e.g., Google Cloud ML, AWS) and deploying models in cloud or on-prem environments.
Good To Have Skills:

Keyskills: Tensorflow Langchain Pytorch Retrieval Augmented Generation Python Generative Ai Feature Engineering Cloud Ai Scikit-Learn Vectorization MLOps GCP Deploying Models AWS
Tata Consultancy Services is an Indian multinational information technology services and consulting company headquartered in Mumbai, Maharashtra, India with its largest campus located in Chennai, Tamil Nadu, India. As of February 2021, TCS is the largest IT services company in the world by market ca...