Be a thought leader; drive ML solutions and product vision.
Lead end-to-end SDLC (design, coding, testing, deployment, ops) and review processes.
Craft production-grade ML code for real-time platform; extend ML libraries.
Collaborate with engineers/scientists; accelerate model development and scale production.
Mentor engineers; set technical direction and culture.
Uphold high technical rigor; build resilient, scalable systems; improve processes.

🎯 Requirements

Degree in mathematics/computer science or related.
12+ years in full SDLC incl design, coding, testing, builds, deploys and ops.
7+ years programming in Python or Java.
5+ years leading design/architecture of large distributed systems on cloud (AWS/Azure/GCP).
Experience with distributed data/ML tech: MapReduce, Spark, Flink, Kafka, PySpark, SageMaker.
Mentor/tech lead or engineering team leadership.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot