Description

Lead end-to-end development of NLP and LLM-based features, from experimentation to production integration.

This role is on-site.

Responsibilities

• Build and fine-tune transformer-based models for language understanding and generation use cases.
• Implement ML workflows in Python using PyTorch and/or TensorFlow, including model training and evaluation.
• Integrate Hugging Face models and tooling into application services and inference pipelines.
• Drive technical design decisions for scalable AI solutions, ensuring reliability and maintainability.

Required Skills

• 5 to 14 years of relevant experience in AI/ML, NLP, and LLM development.
• Strong proficiency in Python for AI/ML development and model integration.
• Experience with Machine Learning and GenAI/LLM solution development.
• Hands-on expertise with Transformers-based NLP modeling and Hugging Face model usage.
• Proven track record in production-oriented LLM/NLP implementation.

Preferred Skills

• Deep expertise in PyTorch.
• Deep expertise in TensorFlow.

Education and Experience

Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Key Skills

Education

Any Graduate