AI/ML Engineer
Agilisium 4.9
Software Development
Willing to Relocate
1
Any
Not Required
No
Job Description
We are seeking an experienced MLOps / GenAI Engineer with strong expertise in building and deploying production-grade ML pipelines, cloud-native solutions, and MLOps frameworks. The role involves designing, building, and deploying ML pipelines, implementing CI/CD, containerization (Docker), orchestration (Kubernetes), and collaborating with cross-functional teams to productionize ML models in enterprise environments. Candidates should have strong cloud experience (AWS, Azure, GCP), familiarity with MLOps tools, and proven ability in scaling AI/ML systems.
Accountabilities:
Design, build, and deploy production-grade ML pipelines with MLOps tools.
Develop/manage CI/CD pipelines for ML model deployment & monitoring.
Implement containerization (Docker) & orchestration (Kubernetes).
Collaborate with data scientists & engineers to productionize ML models.
Ensure compliance with ML deployment best practices across AWS, Azure, GCP.
Integrate third-party services/APIs for enhanced AI/ML capabilities.
Contribute to architecture design & low-level implementation.
Work with distributed teams for end-to-end AI/ML delivery.
Qualifications
UG: Any Graduate
Key Skills
Perks and Benefits
Opportunity to work on GenAI & MLOps solutions
Cloud-native ML deployment exposure (AWS, GCP, Azure)
End-to-end AI/ML solution delivery in distributed teams