Machine Learning OP's Engineer - Lead (Hybrid)
Hybrid · New York City, New York, United States or Bethlehem, Pennsylvania, United States
New York City, New York, United States or Bethlehem, Pennsylvania, United StatesHybridFull TimeSenior LevelNot SpecifiedUnknown
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Unknown
Job Summary
Lead MLOps Engineer role focused on designing and implementing robust MLOps pipelines from data ingestion to model deployment, building and maintaining ML infrastructure on AWS/SageMaker, developing CI/CD pipelines for ML models, optimizing production performance and resource utilization, monitoring models, ensuring data quality, and collaborating with data scientists and engineers to streamline ML lifecycle and improve development processes.
Required Qualifications
- Lead MLOps Engineer
- Designing and implementing robust MLOps pipelines
- CI/CD pipelines for ML models
- Cloud platforms (AWS, SageMaker)
- Python
- ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Docker, Kubernetes, Jenkins, Airflow
- Git
- SQL, ETL
- S3, EMR, Redshift
- Strong problem-solving and communication skills
- Ability to work independently and in a team
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