Senior MLOps Engineer

last updated January 31, 2024 1:06 UTC

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The Role:
We are looking for a Senior MLOps engineer with commercial experience for one of our clients. You are a perfect candidate if you are growth-oriented, love what you do, and enjoy working on new ideas to develop exciting products and growth features.
What we’re looking for:
  • Minimum of 5 years of professional experience in MLOps or a related field.
  • Proven experience deploying and managing machine learning models in production environments.
  • Proficiency in scripting languages (e.g., Python) and relevant MLOps tools (e.g., TensorFlow Extended, Kubeflow, MLflow).
  • Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
  • Strong knowledge of cloud platforms (AWS, GCP, or Azure) and their machine-learning services.
  • Demonstrated experience implementing automated testing, validation, and deployment processes for machine learning models.
Must-have skills:
  • Python
  • Azure / AWS / GCP
  • Grafana / Prometheus
  • SQL
  • Develop and implement a comprehensive MLOps strategy, ensuring the seamless integration of machine learning models into our production environment.
  • Design, build, and maintain end-to-end machine learning pipelines, encompassing data preprocessing, model training, deployment, and monitoring.
  • Collaborate with cross-functional teams to design, deploy, and manage scalable infrastructure for machine learning workloads. Utilise containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, or Azure).
  • Implement and manage CI/CD pipelines for machine learning models, enabling automated testing, validation, and deployment.
  • Establish robust monitoring and logging systems to track the performance of machine learning models in production, ensuring timely detection of anomalies and potential issues.
  • Work closely with data scientists, software engineers, and other stakeholders to understand model requirements, deployment needs, and data dependencies.
  • Implement security best practices for machine learning systems and ensure compliance with relevant regulations and standards.
What Proxify offers
  • Career-accelerating positions at cutting-edge companies
    Discover exclusive long-term remote engagements at the world’s most interesting product companies.
  • Hand-picked opportunities, just for you
    Skip the typical recruitment roadblocks and biases with personally matched engagements.
  • Fast-track your independent developer career
    Start small and gain more freedom to take on new engagements as you build your independent developer career.
  • A recruitment process that values your time
    Only one hiring process with the possibility of several positions, without any additional tests.
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