Description

You will build end-to-end, AI-powered full-stack applications by integrating ML models into web and mobile platforms.

This role is on-site.

Responsibilities

• Design and develop scalable backend services and RESTful APIs to serve ML models for real-time inference.
• Build responsive front-end interfaces to visualize and interact with ML outputs.
• Implement the full ML lifecycle, including data engineering, model development, deployment, and monitoring on cloud platforms.
• Design and manage LLMOps workflows for deploying and maintaining large language models in production.
• Rapidly prototype proof-of-concepts to support product innovation and strategy.

Required Skills

• 3-6 years of experience in Machine Learning and AI-based application development.
• Strong experience deploying ML models into production environments.
• Proficiency in full-stack development, including frontend frameworks and backend technologies.
• Hands-on experience with microservices architecture and RESTful API development.
• Experience with MLOps tools for CI/CD, model monitoring, and versioning.
• Exposure to Cloud Platforms (AWS, Azure, or GCP) for model scaling.
• Knowledge of large dataset handling, data preprocessing, and feature engineering.
• Experience with Data Engineering principles and understanding of AI concepts.

Key Skills

Education

Any Graduate