Senior/Staff ML Ops Engineer

You will:

• 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.

You are:

• Driven to experience and learn more about design, architecture, understanding end to end requirements and delivering solutions that can add value to the work
• Collaborative and comfortable working across teams including data engineering, front end, Product Management, ML and DevOps
• Responsible and like to take ownership of challenging problems
• An effective communicator, including good documentation practices and articulating thought processes in a team setting
• Comfortable with working in an agile environment
• Curious about technology and the industry, and a constant learner

You have:

• 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(Preferred)/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 search engine database such as ElasticSearch is added bonus