Description

You will develop and deploy Generative AI solutions, machine learning models, and large language model applications. You own the end-to-end lifecycle from data curation to cloud deployment.

Responsibilities

• Perform data analysis and curation to prepare datasets for AI applications.
• Develop Python microservices that integrate with AI solutions and data sources.
• Configure and deploy Generative AI solutions using LLMs and RAG techniques.
• Use cloud technologies to deploy and scale AI applications.
• Collaborate with architects, DevOps engineers, and developers to build end-to-end solutions.

Required Skills

• 3+ years of data science experience in data analysis, modeling, and curation.
• 2+ years of experience using Python to develop data-driven applications and microservices.
• Experience with Relational Databases (RDBMS), Vector Databases, and Object Storage.
• Proficiency with structured data formats including Excel.
• Experience with GitHub for version control and collaborative development.
• Background in working with cloud technologies.

Preferred Skills

• Hands-on experience with LangChain, RAG, and Large Language Models (LLMs).
• Expertise in IBM Watsonx.ai and Watsonx.data.
• 2+ years of experience developing applications in AWS, Azure, or Google Cloud.

Key Skills

Education

Any Graduate