Senior MLOps (Bhopal)

Senior MLOps (Bhopal)

19 Aug
|
Bellcom Technologies
|
Bhopal

19 Aug

Bellcom Technologies

Bhopal

Job Description

Senior MLOps & DevOps Engineer
LocationBhopal, MP (In office)Experience610 YearsReports ToLead AI EngineerOpenings1Role Overview
Own and operate the end-to-end MLOps platform for enterprise AI/ML solutions on secure on-premise and air-gapped infrastructure. This is not a traditional DevOps role hands-on production experience with GPU clusters (H100/A100), Kubernetes, LLM inference platforms (vLLM/Triton), and air-gapped deployments is mandatory. The ideal candidate can stand up the full MLOps stack from bare metal without internet access and has operated AI/ML systems in defence, government, or classified environments.
Key Responsibilities
- Design and operate the full ML pipeline: ingestion training validation deployment monitoring drift detection automated retraining.
- Build and maintain ML pipelines with MLflow, Kubeflow, and/or Airflow; manage experiment tracking, model registry, and versioning.
- Deploy and manage LLM/ML inference with vLLM, Triton, or TGI on local GPU hardware.




- Administer Kubernetes on bare-metal on-premise infrastructure; manage NVIDIA GPU Operator, Helm, RBAC, and storage integration.
- Configure and maintain NVIDIA GPU infrastructure: CUDA, cuDNN, TensorRT, NCCL, GPU drivers, and multi-GPU scheduling.
- Build CI/CD pipelines for model code; automate testing, validation, and deployment via IaC (Terraform, Ansible, Helm).
- Set up model monitoring dashboards: accuracy tracking, data drift detection, and performance alerting (Prometheus, Grafana).
- Manage air-gapped environments: offline package repos, private container registries, RBAC, audit logging, and security controls.
- Implement HA, disaster recovery, backup, and incident management for the ML platform.

Required Skills & Experience
- 610 years in DevOps/MLOps; 3+ yrs DevOps, 2+ yrs dedicated MLOps with production GPU infrastructure.
- Hands-on NVIDIA GPU ops: H100, H200, A100, L40S or RTX Ada; CUDA, cuDNN, TensorRT, NCCL, multi-GPU clusters.
- Production experience:

📌 Senior MLOps (Bhopal)
🏢 Bellcom Technologies
📍 Bhopal

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: senior mlops (bhopal) / bhopal