GenAI Developer

As a GenAI Developer / Data Scientist, you will apply your strong data science expertise and Python programming skills to work with a variety of data sources and develop solutions that leverage the latest in Generative AI, machine learning, and large language models (LLMs). Familiarity with technologies such as Retrieval Augmented Generation (RAG), LangChain, and Watsonx.ai will be highly beneficial.

Key Responsibilities:

• Perform data analysis and data curation to prepare datasets for machine learning and AI applications.
• Develop Python microservices that integrate with AI solutions and various data sources.
• Configure and deploy Generative AI solutions, including working with large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
• Collaborate with architects, DevOps engineers, and other developers to create end-to-end Generative AI-based solutions.
• Work with cloud technologies to deploy and scale AI applications.
• Utilize GitHub for version control and collaborative development.

Required Skills:

• 3+ years of data science experience, including strong hands-on experience with data analysis, modeling, and curation.
• 2+ years of experience with Python for developing data-driven applications and microservices.
• Experience working with various types of data sources, including:
  • Relational Databases (RDBMS)
  • Vector Databases
  • Object Storage
  • Excel and other structured data formats.

Preferred Skills:

• Hands-on experience with Generative AI technologies.
• Familiarity with Machine Learning frameworks and methodologies.
• Strong understanding of Retrieval Augmented Generation (RAG) and Large Language Models (LLMs).
• Experience with LangChain for building AI-powered applications.
• Expertise in IBM’s Watsonx.ai and Watsonx.data solutions.
• Experience working with Vector Databases like Milvus.
• 2+ years of experience developing applications in cloud environments (e.g., AWS, Azure, or Google Cloud).
• Familiarity with GitHub for code versioning and collaborative software development.