About the Role :

We are looking for a highly skilled Senior Data Scientist with strong expertise in Python, GenAI, Large Language Models (LLMs), FastAPI, and Cloud Platforms (GCP/Azure/AWS).

The ideal candidate should have hands-on experience in building, deploying, and scaling AI/ML solutions, developing production-grade APIs, and implementing CI/CD pipelines for machine learning applications.

This role requires end-to-end ownership of ML solutions from model development and deployment to cloud infrastructure and API integration.

Key Responsibilities :

- Design, build, train, and optimize Machine Learning and Generative AI models.

- Develop GenAI solutions using LLMs, RAG, embeddings, prompt engineering, and AI frameworks.

- Build and maintain production-ready applications using Python and FastAPI.

- Develop scalable REST APIs and integrate AI/ML services with enterprise applications.

- Deploy ML models and AI applications on Google Cloud Platform (GCP), Microsoft Azure, or AWS.

- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.

- Implement clean, modular, and maintainable code using Object-Oriented Programming (OOP) principles.

- Collaborate with Product, Data Engineering, DevOps, and Infrastructure teams to deliver scalable AI solutions.

- Support cloud migration initiatives and modernize ML platforms.

- Monitor, troubleshoot, and optimize deployed ML services for performance and scalability.

Required Skills :

- 7+ years of experience in Data Science, Machine Learning, or AI development.

- Strong programming expertise in Python.

- Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and prompt engineering.

- Experience building APIs using FastAPI.

- Strong understanding of API Development, REST APIs, and API Management.

- Experience with CI/CD tools such as Jenkins or GitHub Actions.

- Strong knowledge of Object-Oriented Programming (OOP) concepts and software design principles.

- Experience deploying AI/ML solutions on GCP, Azure, or AWS.

- Experience with Git and version control.

Preferred Skills :

- Docker and Kubernetes

- Vector Databases (Pinecone, FAISS, ChromaDB)

- Terraform or Infrastructure as Code (IaC)

- ML model deployment and MLOps practices

- Microservices Architecture

Preferred Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

- Excellent analytical, problem-solving, and communication skills.

- Experience working in Agile development environments.