Machine Learning Engineer (NLP/Chatbots)

Mumbai | Remote (India) • Full-time • Senior • AI/Data

RAG, LLMOps and evaluation frameworks.

About the Role

Build and deploy NLP models and chatbot systems. You'll work with LLMs, implement RAG architectures, and create evaluation frameworks for conversational AI systems.

What You'll Do

Design and implement RAG (Retrieval-Augmented Generation) systems

Build and fine-tune LLMs for specific use cases

Develop chatbot architectures and conversation flows

Implement model evaluation and monitoring frameworks

Optimize model performance and reduce inference costs

Create data pipelines for training and inference

Collaborate with product teams on AI feature requirements

What You'll Bring

4+ years of ML engineering experience with focus on NLP

Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)

Experience with transformer models and large language models

Knowledge of vector databases and semantic search

Understanding of MLOps practices and model deployment

Experience with cloud ML platforms (SageMaker, Vertex AI)

Strong background in statistics and machine learning theory

Nice to Have

Experience with prompt engineering and fine-tuning techniques

Knowledge of multi-modal models (vision + language)

Familiarity with reinforcement learning from human feedback (RLHF)

Understanding of distributed training and model parallelism

Why Join StackBinary?

Flexible working hours

Remote-friendly culture

Learning & development budget

High-ownership projects

Pragmatic engineering culture

Work with cutting-edge tech

Ready to Apply?

Join our team of builders who love shipping quality software.

Questions about this role?

careers@stackbinary.io

Machine Learning Engineer (NLP/Chatbots)

About the Role

Ready to Apply?

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