We are looking for a passionate and hands-on Data Scientist specializing in Generative AI (GenAI) to join our team. You will work on designing, developing, and deploying AI-powered solutions leveraging Large Language Models (LLMs) and Azure OpenAI Services. This role requires both strong technical skills and creativity in applying AI to solve real-world business challenges.

Key Responsibilities

Design, develop, and deploy Generative AI applications using LLMs and Azure OpenAI Services.Implement prompt engineering, vector database integrations, and agentic AI workflows.Work with Azure Blob Storage and other cloud-based storage solutions for data ingestion and retrieval.Develop scalable data processing and model-serving pipelines in Python.Write efficient SQL queries for data extraction, transformation, and analysis.Manage code repositories using Git and containerize applications with Docker.Optimize AI workflows for performance, scalability, and cost-efficiency.Collaborate with cross-functional teams including data engineers, software developers, and product managers.

Required Skills & Qualifications

1–3 years of experience in data science, AI/ML development, or related roles.Hands-on experience with Generative AI and LLMs (e.g., GPT, Azure OpenAI, Hugging Face).Knowledge of prompt engineering techniques and agentic AI frameworks (e.g. CrewAI, MS Autogen, Langchain, etc.).Experience with Vector Databases (e.g., Milvus, Pinecone, Weaviate, ChromaDB).Familiarity with Azure Blob Storage for data management.Strong programming skills in Python and SQL.Experience with Git, Docker, and working in Linux environments.

Good to Have

Knowledge of Kubernetes for container orchestration.Experience with CI/CD pipelines for ML/AI deployments.Exposure to LLMOps best practices.Familiarity with cloud-based AI architectures and performance optimization.

Soft Skills

Problem-solving mindset with a passion for learning new AI technologies.Strong communication skills to explain technical concepts to non-technical stakeholders.Ability to work in a fast-paced, collaborative, and innovative environment.