Senior Machine Learning Operations Engineer
New
This role is 100% remote for candidates currently residing in either the United States or Canada.Full-TimeSenior
Salary140,000 - 150,000 USD per year
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Job Details
- Experience
- 4-6 years
- Required Skills
- AWSDockerPythonSQLGCPKubernetesPyTorchAzurescikit-learn
Requirements
- 4-6 years of experience as a data scientist, data engineer, or machine learning engineer.
- Proven ability to build machine learning model pipelines and infrastructure.
- Strong working knowledge of Python and SQL.
- Proven experience with ML frameworks (e.g., scikit-learn, PyTorch).
- Experience with cloud platforms (e.g., GCP, AWS, Azure).
- Hands-on experience with Docker, Kubernetes, and Airflow.
- Ability to drive projects with minimal guidance and prioritize high-impact work.
- Strong verbal and written communication skills.
- Ability to build cross-functional relationships.
- Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.
Responsibilities
- Design, build, and maintain machine learning model productionization infrastructure.
- Work with the rest of the data science team to streamline model training, validation, and deployment.
- Implement robust monitoring and alerting for model performance, drift, and data quality.
- Ensure models remain accurate in production.
- Cultivate an outstanding data science environment by championing best practices in ML Ops.
- Evaluate and integrate new technologies into the data science stack.
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