Data Ops Engineer
Deep 6 AI
What You'll Do
- Oversee the end-to-end execution of the Deep 6 AI data pipeline, identifying issues quickly and recommending solutions rapidly.
- Build proactive and reactive measures for supporting pipeline health, including monitoring and alerting, dashboarding/visualization, observability, and telemetry.
- Enhance the data pipeline with established data engineering core principles (e.g., observability, resilience, scalability).
- Ensure data metrics for sufficiency and quality are captured and have visibility to all stakeholders.
- Build strong relationships with the cross-functional team of execution and stakeholders.
- Contribute to the conversation of data sufficiency across all clients to support Deep 6 AI’s growing use cases, leveraging clinical, socio-demographic, performance, and other relevant data.
- Lead or support special projects, as needed.
About You
- Proven success operating data pipelines at a similarly sized or larger company
- Proficiency in JVM languages, especially Kotlin.
- Experience with cloud-based platforms, especially AWS.
- A positive, collaborative, can-do attitude and a strong sense of ownership.
- Combining Supervised & Unsupervised Machine Learning Methods
- Training Models with Reinforcement Learning
Bonus Points
- Experience with search frameworks, such as Elasticsearch or OpenSearch.
- Proficiency in Python.
- Familiarity with clinical data concepts, the healthcare domain, concepts and language.
- Prior remote working experience.
- Prior startup experience.
- Worked in the healthcare domain.