Data Scientist

Overview

Industry: IT

Qualification: Masters in Data Science, AI, ML, - Background in Computer Science, Electronics

Required Skills: AI/ML, Python, Cloud Paltforms

Working Shift: 10am to 7pm IST

City: Coimbatore

Country: India

Name of the position: Data Scientist

Location: Coimbatore

No. of resources needed : 01

Mode: Fulltime

Years of experience: 4+ Years


Overview

We are seeking a highly skilled and motivated Data Scientist to join our growing AI and Data team. In this role, you will design, develop, and deploy advanced AI and machine learning models using modern frameworks and cloud platforms. You will work closely with cross-functional teams to integrate AI-driven solutions into core business processes and stay abreast of the latest trends in generative AI, LLMs, and Agentic AI.

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.