Data Scientist- AI/ML Developer

Job Title: Data Scientist AI/ML Developer

Job Summary

We are seeking an experienced candidate with expertise in designing and implementing cutting-edge solutions using Large Language Models (LLMs), API platforms like Apigee, and advanced orchestration frameworks. This role involves leveraging your skills in GraphQL, Embedding, RAG techniques, Fine-tuning, Prompt Engineering, and Data Engineering to develop scalable AI-driven architectures. You will play a pivotal role in data migration, fine-tuning LLMs, and implementing Retrieval-Augmented Generation (RAG) workflows using tools like LangChain and LlamaIndex.

Key Responsibilities

• API Development and Integration:
• Design and manage scalable APIs using Apigee.
• Optimize and integrate GraphQL-based APIs to support AI-driven solutions.
• LLM Development and Fine-tuning:
• Architect solutions using LLMs to meet diverse business needs.
• Fine-tune pre-trained models and apply embedding techniques to optimize performance.
• Implement Prompt Engineering techniques to enhance model output accuracy.
• Implement RAG application using suitable LLM models.
• Data Engineering and Migration:
• Clean, structure, and manage data pipelines for AI applications.
• Lead data migration efforts from on-premises systems to cloud platforms.
• RAG and Orchestration:
• Develop Retrieval-Augmented Generation (RAG) workflows to enable context-driven AI solutions.
• Utilize orchestration techniques with LangChain and LlamaIndex to build complex, modular AI pipelines.
• Solution Architecture:
• Design end-to-end architectures for integrating AI capabilities within enterprise systems.
• Collaborate with cross-functional teams to deliver scalable, reliable, and efficient AI solutions.

Mandatory Skills and Qualifications

• Strong experience with Apigee and GraphQL for API management and integration
• Hands-on expertise in LLM architecture, Embedding techniques, and Fine-tuning.
• In-depth knowledge of Prompt Engineering and optimizing model outputs for enterprise use cases.
• Proficiency in Data Engineering, including data cleanup, structuring, and migration from on-prem to cloud.
• Solid understanding and hands on of RAG workflows and experience with tools like LangChain and LlamaIndex for AI orchestration.
• Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, GCP).
• Ability to work in Agile environments and excellent problem-solving skills.