Description

You will build and maintain production-grade AI pipelines, focusing on LLMs, Generative AI, and NLP solutions.

This role is hybrid.

Responsibilities

• Develop and deploy RAG architectures and embedding models using vector databases.
• Fine-tune and evaluate models using Azure OpenAI, AWS Bedrock, and HuggingFace.
• Implement NLP techniques and generative AI features for enterprise applications.
• Translate business requirements into technical AI solutions.

Required Skills

• 7+ years of experience in AI/ML engineering.
• Strong proficiency in Python, NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow, PyTorch, spaCy, and NLTK.
• Deep understanding of LLMs, Generative AI, and RAG patterns.
• Experience with LangChain and model fine-tuning tools.
• Knowledge of embeddings (Word2Vec, GloVe, ELMo) and vector databases.

Preferred Skills

• Experience with MLOps pipelines and enterprise AI platforms.
• Understanding of AI governance, ethics, and security.
• Prior experience in financial services or enterprise domains.

Key Skills

Education

Any Graduate