Related skills
java sql python django scala📋 Description
- Own end-to-end ML/data solution architecture and delivery for enterprise clients.
- Translate business/data requirements into scalable ML/Ops solutions.
- Ensure engagements are on-time, within scope, with measurable business value.
- Design secure, scalable environments for data scientists to train models.
- Define deployment approaches and production infra for ML models.
- Ensure observability, testing, and governance of deployed solutions.
🎯 Requirements
- 8+ years in ML/Software/Data Eng building production ML/data solutions.
- Proficient in Python/Scala/Java; APIs with Flask/Django/Spring.
- Build/operate robust data pipelines; SQL and big data tech (Spark, Snowflake, Databricks).
- Strong systems knowledge: Linux, AWS, Databricks; Kafka/JMS; production ML deployment.
- Strong SQL skills: write, debug, optimize complex queries.
- Experience delivering projects in professional services/consulting; client communication.
🎁 Benefits
- Remote-first work environment with global teams.
- Competitive compensation and benefits; 4 weeks PTO plus holidays.
- Learning and development stipend; opportunities for growth.
- Vendor-partner exposure and collaboration on cutting-edge data platforms.
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