Senior/Staff ML Ops Engineer
March 15
🏢 In-office - Bay Area
Description
• Design and implement automation of model training/handling feedback loop process (continuous training) • Implement solutions for continuous observability of ML models and their performance • Implement solutions for automation of ML Pipeline components deployment process with appropriate support for quality gate • Implement solutions for end to end tracking of model KPIs for a given dataset that support model versioning • Develop Platform and Modular approach in assisting quicker development of ML Models, including solutions for feature store, parameter store and time series data • Design solutions that are scalable and reduce time for ML model migration to prod • Build production quality solutions that are highly scalable and meet acceptance criteria of technical requirements • Interface with multiple teams, including ML, UI, backend and data engineering to ensure seamless data sourcing, handling, processing, and visualizations
Requirements
• MS/BS +3 years in Computer Science or a related field • Expert programming experience with Python or Java • 2 years experience in one of the ML OPs tools like Apache Airflow/Luigi/Argo/ML Flow/Kube Flow/Sage Maker • 2+ experience in working with any of the public cloud AWS(preferred)/Azure/GCP • Knowledge of SQL databases such as Postgres and NoSQL databases such as MongoDB, Cassandra, Redis • Experience working with Columnar Databases and JSON/Parquet/ORC message formats • Experience with a search engine database such as ElasticSearch is an added bonus
Benefits
• Comprehensive medical, dental, vision, life insurance and long-term disability coverage • Flex Time Off policy • Located next to Santana Row
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