Senior ML Operations Engineer
T
The AthleticSports Media
100% remote for candidates currently residing in either the United States or Canada.Full-TimeSenior
Salary140,000 - 150,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 4-6 years of experience
- Required Skills
- AWSDockerPythonSQLGCPKubernetesPyTorchAirflowscikit-learnMLOps
Requirements
- 4-6 years of experience as a data scientist, data engineer, or machine learning engineer.
- Strong working knowledge of Python and SQL.
- Proven experience with ML frameworks such as scikit-learn and PyTorch.
- Proven experience with cloud platforms such as GCP, AWS, or Azure.
- Hands-on experience with Docker, Kubernetes, and Airflow.
- Proven ability to build machine learning model pipelines and infrastructure.
- Ability to drive projects with minimal guidance and prioritize high-impact work.
- Strong verbal and written communication skills.
- Ability to build cross-functional relationships.
- Ability to 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 data science team to streamline model training, validation, and deployment.
- Implement robust monitoring and alerting for model performance, drift, and data quality.
- Ensure machine learning models remain accurate in production environments.
- Champion MLOps best practices within the data science environment.
- Evaluate and integrate new technologies into the company's data science stack.
View Full Description & ApplyYou'll be redirected to the employer's site
