Walk-in drive- 10th October- TCS Hyderabad office

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Must Have

1. Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.
2. Deep Learning Frameworks: PyTorch, spaCy, Keras
3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers
4. Experience in working with Image processing, computer vision is must
5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,keras etc.,.) , LangChain, Flask, FastAPI, prompt engineering.
6. Programming experience in Python

Good to Have

1.



Experience working with vectored databases and graph representation of documents.
2. Experience with building or maintaining MLOps pipelines.

Expectations from Role

1. Design and implement scalable and effective data architectures to support generative AI workflows.
2. Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models.
3. Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks.

📌 AI/ML Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad