Posted 03 June, 2026

ML Platform Engineer

ClifyX

India Full Time

Reference: 365_594563_25-05601

Number of Openings*	1
Approved ECMS RQ# *	537364
Duration of contract*	12
Total Yrs. of Experience*	8-10
Relevant Yrs. of experience*	5-6
Detailed JD *(Roles and Responsibilities)	A hands-on engineer who can build and scale AI/ML infrastructure, ensuring reliable pipelines, versioning, monitoring, and deployment. Think DevOps for AI – the glue between AI engineers and data infrastructure. 5+ years in DevOps/MLOps or AI platform engineering Expert in containerized workloads (Kubernetes, Docker) and orchestration (Airflow, MLflow, Kubeflow) Can deploy and monitor models in cloud AI stacks (SageMaker, Azure ML, Vertex AI) Solid Python engineering, CI/CD automation, security-first mindset Understands data pipelines & feature stores
Mandatory skills*	ML ,containerized workloads (Kubernetes, Docker) and orchestration (Airflow, MLflow, Kubeflow)
Desired skills*	Azure
Domain*	Logistics
Approx. vendor billing rate* (INR/Month) Excluding service tax	12000 INR /Day
Work Location*	Remote
Background check process to be followed: * Before onboarding / After onboarding: * BGV Agency: *	Before onboarding
Mode of Interview: Telephonic/Face to Face/Skype Interview*	Skype/Teams Interview