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 Tensor Flow, 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.