Data Ops Engineer

Deep 6 AI is a fast-growing tech startup headquartered in Los Angeles, California looking for talented, dynamic team members who want to help shape our groundbreaking artificial intelligence platform.
We are transforming and accelerating clinical trials, to help get life-saving treatments to patients faster and accelerate innovation in healthcare. To that end, we build a cutting-edge software suite that connects all clinical research stakeholders, from research teams to treating physicians, patients, and study sponsors on a real-time, real-world data SaaS platform, powered by AI.

We are looking for a Data Ops Engineer to join our growing team!

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.

$130,000 - $140,000 a year