AI/ML Platform Engineer

Job Description

Rate: $55-60/hr C2C

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Position Overview:

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The AI/ML Platform Engineer will develop, maintain, and optimize infrastructure, tools, and automated workflows supporting the shared enterprise AI/ML platform. The role focuses on ML pipeline automation, CI/CD, model deployment, monitoring, cloud cost optimization, and developer enablement.

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Key Requirements:

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• 5+ years of experience in software engineering, data engineering, or ML engineering, including 2+ years working with production ML systems.
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• Bachelor's degree in Computer Science, Engineering, or a related technical field; master's degree or PhD preferred.
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• Strong proficiency in Python and production-quality code development.
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• Understanding of ML and deep learning fundamentals, including model training, evaluation, feature engineering, versioning, and deployment.
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• Experience with PyTorch, TensorFlow, or scikit-learn.
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• Experience with Apache Airflow, Kubeflow Pipelines, Prefect, or equivalent orchestration tools.
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• Familiarity with AWS, Azure, or GCP and managed AI/ML services.
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• Experience with Docker, basic Kubernetes operations, and CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
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• Experience building, deploying, monitoring, and troubleshooting ML pipelines and production workflows.
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• Experience monitoring model performance, data drift, pipeline health, and infrastructure utilization.
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• Strong analytical, debugging, communication, and collaboration skills.
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Preferred Experience:

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• Prometheus, Grafana, or Datadog.
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• MLflow or Weights & Biases.
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• Terraform or Ansible.
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• Feature stores such as Feast or Tecton.
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• Internal developer tools, SDKs, and self-service platform capabilities.
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• NLP, computer vision, speech processing, reinforcement learning, or Generative AI.
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• Government, regulated, or large enterprise environments.
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Visas accepted: USC, GC, GC EAD, H1B, H4 EAD only

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