Job Requirements*
Strong Python, algorithms, NumPy, Pandas, scikitlearn.
Experience with PyTorch or TensorFlow.
Knowledge of Transformers, attention, LSTM/CNN models.
Handson with HuggingFace, tokenizers, embeddings, model finetuning.
Familiarity with vector DBs (FAISS, Milvus, Pinecone, ElasticSearch).
Basic understanding of SQL, data wrangling, Git/GitHub, Docker.
Key Responsibilities*
Understand Surfscan waferinspection use cases and datasets.
Build & optimize RAG pipelines (chunking, embeddings, vector DBs, retrieval, reranking).
Develop LLM applications: finetuning, prompt design, structured outputs, inference services.
Implement ML models: classification, regression, anomaly detection, recommendation.
Contribute to DL architectures: CNNs, RNNs, Transformers.
Build robust evaluation: accuracy, F1, BLEU, perplexity, hallucination detection.
Use SQL, Git, Jupyter, basic Docker for data and model workflows.

Keyskills: Artificial Intelligence LLM Machine Learning
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...