Data Scientist

Overview

Key Responsibilities

• Design, develop, and deploy AI/ML models using technologies such as GenAI, FAST API, and AWS/GCP services (e.g., Lambda, SageMaker, Microsoft AI Studio).
• Implement model versioning, monitoring, and performance tracking to maintain data accuracy and reliability.
• Collaborate with engineers, data scientists, and domain experts to integrate AI solutions into business operations.
• Build and maintain high-quality, secure, and scalable data pipelines.
• Continuously review and apply the latest advancements in Agentic AI, LLMs, and AI research to improve model capabilities.
• Optimize machine learning workflows for cloud environments (AWS, GCP, or Azure).
• Contribute to AI architecture planning and best practices.

Required Skills :

• Minimum 4+ years of experience in data science and AI/ML.
• Strong programming skills in Python.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Proficiency in machine learning algorithms, model training, and deployment.
• Experience with model versioning and monitoring tools (e.g., MLflow, Weights & Biases).
• Strong problem-solving and analytical capabilities.
• Experience with REST APIs and ML model integration.

• Domain experience in medicine or insurance.
• Familiarity with Large Language Models (LLMs) and Agentic AI systems.
• Exposure to backend technologies and microservice development.
• Advanced degree (Master s preferred) in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or related field.