Description

You design, develop, and deploy production-grade AI, machine learning, and generative AI solutions.

This role is on-site.

Responsibilities

• Design and implement Agentic AI solutions and intelligent automation workflows.
• Build and optimize data and feature engineering pipelines for model training.
• Develop, fine-tune, and deploy LLMs and ML models in scalable environments.
• Establish MLOps practices including versioning, monitoring, and retraining automation.
• Integrate AI models into APIs, microservices, and enterprise applications.

Required Skills

• 6-10 years of hands-on experience in AI/ML Engineering and Software Development.
• Strong Python programming and software engineering skills.
• Experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
• Hands-on experience with MLOps, model deployment, and lifecycle management.
• Experience integrating AI solutions with APIs, microservices, and enterprise platforms.
• Knowledge of cloud-native deployment architectures and scalable AI systems.
• Experience working with structured and unstructured data pipelines.

Preferred Skills

• C++ experience for performance-critical AI applications.
• Knowledge of governance, explainability, and responsible AI practices.

Key Skills

Education

Any Graduate