Machine Learning Engineer

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.