Senior AI/ML Platform Engineer

Job Description

Rate: $60-65/hr C2C

Position Overview:

The Senior AI/ML Platform Engineer will design, implement, operate, and continuously improve the shared enterprise AI/ML platform. The role focuses on platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization.

Key Requirements:

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• 10+ years of experience in platform engineering, MLOps, or data/software engineering, including 2+ years working with production ML systems.
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• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related technical discipline; master's degree preferred.
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• Strong proficiency in Python and production-grade software development.
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• Experience designing and improving ML CI/CD pipelines, automation frameworks, and deployment processes.
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• Experience with AWS, Azure, or GCP, including cloud resource management and cost optimization.
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• Advanced Kubernetes experience, including cluster management, resource quotas, autoscaling, and workload scheduling.
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• Experience with Prometheus, Grafana, Datadog, OpenTelemetry, or equivalent observability tools.
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• Production-scale experience with Terraform and Ansible.
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• Strong understanding of the ML lifecycle, experiment tracking, model registries, feature stores, model serving, and drift monitoring.
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• Experience with automated model validation, testing, A/B testing, canary deployments, rollback, and production releases.
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• Experience developing internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows.
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• Strong troubleshooting, incident response, root-cause analysis, and technical documentation skills.
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Preferred Experience:

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1. Shared platforms or internal developer platforms (IDPs).
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2. LLM serving technologies such as vLLM, Text Generation Inference (TGI), and managed LLM APIs.
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3. Government, regulated, or FedRAMP-compliant environments.
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4. NIST AI Risk Management Framework and responsible AI governance.
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5. FinOps practices and tools such as Infracost and AWS Cost Explorer.
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6. GitOps, platform APIs, developer tooling, and infrastructure observability.
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Visas accepted: USC, GC, GC EAD, H1B, H4 EAD only