MLOps Team Lead
Netanya, Center District, IL
ILS 402K-504K (estimate) Senior-level Full Time
Tasks
- Build and maintain machine learning pipelines
- Design and code platform components
- Develop automation for research workflows
- Ensure data accuracy consistency and efficiency for training and inference
- Implement model lifecycle training deployment monitoring retraining
- Lead and mentor MLops engineers
- Migrate distributed computing from Dask to Ray
- Orchestrate workflows with pipeline orchestrators
- Own end to end infrastructure initiatives
- Review code and set engineering standards
- Run pipelines to production
- Translate research needs into scalable systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Spark | Azure | Dagster | Dask | Distributed Computing | Docker | GCP | Kubernetes | MLOps | Machine Learning | Python | Ray
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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