Description

You build and maintain scalable GenAI and ML solutions for enterprise environments, owning the full lifecycle from data pipeline integrity to production deployment.

This role is on-site.

Responsibilities

• Translate IT process improvement needs into scalable GenAI/ML solutions.
• Build and maintain AI-ready data pipelines with strict attention to data integrity, security, and accessibility.
• Research and evaluate emerging generative and agentic AI tools, techniques, and orchestration approaches.
• Provide technical leadership and mentorship for junior engineers working on ML/GenAI applications.
• Contribute to AI governance policies and best practices to support regulatory compliance and cost-effective delivery.

Required Skills

• 6+ years of relevant enterprise experience in data, AI, and cloud adoption.
• 4+ years building production-grade AI/Python applications and pipelines.
• Machine Learning experience applying ML to enterprise problems.
• Python for building enterprise-grade ML/GenAI services, APIs, and data/pipeline components.
• Gen AI solution development with practical implementation experience beyond prototypes.
• Agentic AI development including agent orchestration and production execution patterns.

Preferred Skills

• Deep Learning and hands-on experience with LLM-based systems.

Key Skills

Education

Any Graduate