Description

You will build, scale, and maintain production-ready machine learning models, with a focus on LLM engineering and RAG architectures.

This role is on-site.

Responsibilities

• Research and implement deep learning algorithms for specific use cases.
• Transform data science prototypes into reliable, production-grade applications.
• Select, transform features, and build optimized classifiers.
• Train, retrain, and extend existing ML libraries and frameworks.
• Perform statistical analysis and tune system parameters for efficiency.

Required Skills

• 5-7 years of experience in machine learning and deep learning implementation.
• Hands-on experience with LLM engineering and RAG architectures.
• Proficiency in Prompt Engineering.
• Experience with LangChain and LlamaIndex.
• Experience with DSPy.
• Ability to work with complex data science prototypes and designs.
• Background in implementing and optimizing deep learning algorithms.

Preferred Skills

• Any Graduate.

Key Skills

Education

Any Graduate