DevOps and MLOps Lead

1 week ago


Burlington, Massachusetts, United States Syntricate Technologies Full time

**Job Overview**

We are seeking a DevOps and MLOps Lead to join our team at Syntricate Technologies in Bellevue, WA. The ideal candidate will have a strong background in DevOps, MLOps, and cloud computing.

Salary: $140,000 - $190,000 per year

About the Role

This is a 12-month contract position with a focus on collaborating with data scientists to containerize ML models and ensuring efficient deployment to production. The successful candidate will design and develop MLOPs workflows, implement CI/CD pipelines specifically tailored for machine learning model deployment, and utilize ML monitoring tools to ensure efficient deployment to production.

Key Responsibilities

  • Collaborate with data scientists to containerize ML models and ensure efficient deployment to production.
  • Design and develop MLOPs workflows, including model training, validation, deployment, monitoring, and retraining.
  • Implement CI/CD pipelines specifically tailored for machine learning model deployment.
  • Utilize ML monitoring tools and frameworks (e.g., MLflow, Kubeflow, Airflow) to monitor model drift, performance, and data quality in production environments.

Requirements

  • Experience with MLOPs (and DevOps) architecture and implementation experience.
  • Understanding of Full stack development and preferably experience working as a full stack engineer.
  • Familiarity with ML lifecycle tools (MLflow, DVC, Airflow) and version control for data and models.
  • Experience with data science and ML libraries: TensorFlow, PyTorch, Scikit-Learn, etc.
  • Knowledge of container orchestration with Kubernetes and model serving frameworks (e.g., Seldon, TensorFlow Serving).


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