Description

You will build and maintain machine learning and deep learning models focused on scalability, reliability, and accuracy.

Responsibilities

• Research and implement deep learning algorithms and tools for specific use case implementations.
• Transform complex data science prototypes and designs into production-ready machine learning applications.
• Select, transform features, and build optimized classifiers.
• Train and retrain systems and extend existing machine learning libraries and frameworks.
• Perform statistical analysis and tune system parameters to improve operational 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 using LangChain and LlamaIndex.
• Experience with DSPy.
• Ability to work with complex data science prototypes and designs.
• Background in implementing and optimizing deep learning algorithms.

Education

• Any Graduate.

Key Skills

Education

Any Graduate