Machine Learning Engineer

**Greetings from Tata Consultancy Services!!** **Role : ML/AI Engineer** **Experience : 6 to 12 Years** **Location -** **Chennai** **Date of Interview - 12-Jun-2026** **Mode of Interview: In Person(Face to Face)** **Job Description** **Deep Learning and NLP Skills:** - Proficiency in building and training deep neural networks using frameworks like TensorFlow, PyTorch, etc. - Understanding of transformer architectures like BERT, GPT, T5, etc. - Knowledge of sequence-to-sequence models, attention mechanisms, and embeddings. - Experience with NLP tasks such as tokenization, named entity recognition, and sentiment analysis. **Reinforcement Learning:** - Strong understanding of the fundamentals of reinforcement learning, including concepts like Markov Decision Processes, Q-learning, and policy gradients. - Experience with modern RL libraries like OpenAI Gym, Ray's RLlib, or Stable Baselines. - Practical knowledge of reinforcement learning in non-stationary environments and using human feedback as rewards. **Optimization Techniques:** - Familiarity with techniques like gradient clipping, learning rate schedules, regularization, and dropout. - Understanding of distributed training and optimization techniques to handle large datasets and models. **Computational Skills:** - Proficiency in Python and other programming languages common in the AI/ML domain. - Knowledge of GPU and TPU computation, especially in the context of deep learning. **Research Acumen:** - Ability to read, understand, and implement findings from scientific papers, especially those related to LLMs and their optimizations. - Contributions to the AI research community through publications, conferences, or open-source projects can be an advantage. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.