Description

Own the end-to-end lifecycle of Gen AI and AI/ML platforms, from model development to deployment and governance.

This role is hybrid.

Responsibilities

• Design and implement Gen AI solutions, including data management, feature engineering, and model development.
• Build and maintain MLOps and LLMOps pipelines using CI/CD, model registries, and evaluation frameworks.
• Deploy and orchestrate models on Google Cloud Platform and Microsoft Azure using Docker, Kubernetes, and OpenShift.
• Develop executive roadmaps and dashboards to demonstrate business impact, risk posture, and performance.
• Influence senior stakeholders and drive alignment across cross-functional teams in large enterprise environments.

Required Skills

• 5+ years of experience in Artificial Intelligence Solutions, Gen AI, or AI/ML platforms.
• 4+ years of hands-on experience across the AI/ML lifecycle, including deployment and monitoring.
• 2+ years of experience with public cloud technologies (GCP and/or Azure) and container orchestration (Docker, Kubernetes, OpenShift).
• Proficiency with MLOps/LLMOps tooling: model registries, feature stores, prompt versioning, and guardrails.
• Experience with enterprise platform components such as Vertex AI, BigQuery, and large-scale distributed model execution.
• Strong technical depth in APIs, SDKs, security controls, and data contracts.
• Proven ability to operate in regulated industries and build platforms at scale.

Preferred Skills

• Experience with program delivery, solution management, or technical product ownership.
• Strong executive presence with the ability to translate complex technical concepts into actionable insights.

Key Skills

Education

Any Graduate