Senior AI/ML Platform Engineer
Location: MD (Onsite)
Rate: $45/hr for sub C2C
Experience: 10+ Years
Openings: 1
Job Description:
Seeking a Senior AI/ML Platform Engineer to develop and maintain enterprise AI/ML infrastructure, automate MLOps workflows, manage Kubernetes environments, and ensure platform reliability and performance.
Required Skills:
• 10+ years in platform engineering, MLOps, or software/data engineering, including 2+ years with production ML systems.
• Strong Python and production software engineering.
• ML CI/CD pipelines, automation, deployment, and release management.
• AWS, Azure, or GCP cloud infrastructure and cost optimization.
• Advanced Kubernetes: cluster administration, autoscaling, resource quotas, and workload scheduling.
• Prometheus, Grafana, Datadog, OpenTelemetry, or equivalent monitoring.
• Terraform, Ansible, and infrastructure automation.
• ML lifecycle, experiment tracking, model registries, feature stores, model serving, and drift monitoring.
• Automated model validation, A/B testing, canary deployments, rollback, and production releases.
• Internal SDKs, CLI tools, APIs, reusable templates, and standardized deployment workflows.
• Incident response, troubleshooting, root-cause analysis, and documentation.
Preferred: Internal Developer Platforms (IDPs), vLLM, Text Generation Inference (TGI), managed LLM APIs, FedRAMP, government experience, NIST AI RMF, GitOps, Infracost, AWS Cost Explorer, and FinOps.
Senior AI/ML Platform Engineer in Linthicum Heights at Heptaware Global
This position is listed as full time and onsite. It was posted last week.