Senior Machine Learning Operations Engineer
New
United States or CanadaFull-TimeSenior
Salary140,000 - 150,000 USD per year
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Job Details
- Experience
- 4-6 years of experience
- Required Skills
- AWSDockerPythonSQLGCPKubernetesPyTorchAirflowAzurescikit-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
- Strong working knowledge of SQL
- Proven experience with ML frameworks (e.g., scikit-learn, PyTorch)
- Proven experience with cloud platforms (e.g., GCP, AWS, Azure)
- Hands-on experience with Docker
- Hands-on experience with Kubernetes
- Hands-on experience with 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, ensuring 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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