Senior MLOps Engineer
Series E Tech
$240,000 + $500K equity (4 year vest + refreshers)
About the Team:
My client's MLOps team is responsible for building and maintaining the platform that enables the machine learning team to deploy and manage models efficiently.
Job Description:
We are seeking an experienced Senior MLOps Engineer to join our team. As a Senior MLOps Engineer, you will be responsible for designing and implementing the infrastructure and workflows that support the machine learning lifecycle, including model training, deployment, and monitoring. You will work closely with the machine learning team to ensure seamless integration and deployment of models.
Requirements:
- 5+ years of experience in MLOps or related field
- Deep experience with MLOps tools and technologies (e.g., Kubernetes, TensorFlow, PyTorch, AWS SageMaker)
- Strong background in DevOps practices and Python development
- Experience with workflow orchestration tools (e.g., Apache Airflow, Zapier)
- Familiarity with model serving technologies (e.g., TensorFlow Serving, AWS SageMaker Hosting)
Nice to Have:
- Experience with GPU support in Kubernetes
- Knowledge of Iceberg and Spark as the engine for the feature store
- Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD)
