Senior MLOPS and Data Engineer
Core
Design, build, and operate scalable data and ML-enabled pipelines to move AI safely from experimentation into production.
Role type
Senior MLOps and Data Engineer
Builds
Production-grade data pipelines and ML platforms for customer and marketing functions
Domain
Insurance / Cloud Data Engineering & MLOps
Deliverable
production ML models
Required skills
Python, SQL, Spark, Snowflake, DBT, Airflow, CI/CD, model training, feature engineering
Preferred skills
Cloud native data engineering patterns, responsible ML governance
Technologies
AWS, Azure, Snowflake, DBT, Airflow, Spark
Responsibilities
Design and build scalable data pipelines; operate ML pipelines in production; create trusted data foundations; embed modern data engineering and MLOps practices
Seniority
Senior, hands-on IC
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