Data Scientist - Generative AI

Job Title: Data Scientist - Generative AI
Experience: 5+ Years
Location: Remote (Contract)

Job Description

We are looking for a skilled Data Scientist - Generative AI with strong experience in Machine Learning, Generative AI, and full-stack application development. The ideal candidate will design, build, and deploy AI-driven solutions using Python, Azure, Flask, React, and PostgreSQL. This role requires a combination of data science expertise and practical engineering skills to deliver scalable AI-powered applications.

Key Responsibilities

• Develop and deploy Machine Learning and Generative AI solutions including LLM-based applications, RAG pipelines, and prompt engineering frameworks.
• Build and maintain RESTful APIs using Flask to integrate AI/ML models into applications.
• Develop responsive and interactive front-end interfaces using React.
• Design, manage, and optimize PostgreSQL databases for data-driven applications.
• Deploy and manage applications on Microsoft Azure cloud services.
• Ensure scalability, performance, reliability, and security of AI systems.
• Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.
• Participate in model evaluation, optimization, and continuous improvement of AI pipelines.

Required Skills Experience

• 5+ years of experience in Data Science, Machine Learning, or AI development.
• Strong programming experience in Python and SQL.
• Hands-on experience with Generative AI, LLMs, RAG pipelines, and prompt engineering.
• Experience in backend development using Flask.
• Experience in frontend development using React.
• Experience working with PostgreSQL or similar relational databases.
• Experience deploying and managing solutions on Azure cloud platform.
• Good understanding of scalable AI application architecture and system performance optimization.

Nice to Have

• Experience with Agentic AI frameworks or AI agents.
• Experience with LLM orchestration tools (LangChain, Semantic Kernel, etc.).
• Familiarity with MLOps practices and model deployment pipelines.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.