Senior Machine Learning Engineer

BJAK
Zurich
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Python","PyTorch","JAX","GPU"]

Senior ML engineer owning critical production ML subsystems for a proactive AI assistant. Drive end-to-end ML pipelines from data prep to inference, ship robust systems under real production constraints, diagnose failures with production signals, and collaborate across research, product, and engineering to deliver measurable user impact. Mentor peers, write production-grade code, and iterate rapidly to balance latency, cost, and reliability.

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FursaFursa
BJAK
BJAK
3 months ago

Senior Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Senior ML engineer owning critical production ML subsystems for a proactive AI assistant. Drive end-to-end ML pipelines from data prep to inference, ship robust systems under real production constraints, diagnose failures with production signals, and collaborate across research, product, and engineering to deliver measurable user impact. Mentor peers, write production-grade code, and iterate rapidly to balance latency, cost, and reliability.
Location: Zurich
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own ML subsystems in production end-to-end, from data prep and training to inference and iteration
  • •Diagnose and debug production ML failures using real signals and robust monitoring
  • •Collaborate closely with research, product, and engineering to deliver high-impact ML features
  • •Write production-quality code with a systems mindset and mentor peers
  • •Ship and iterate quickly, balancing latency, cost, and reliability under real production constraints

Key Requirements

  • •Independent ownership of ML subsystems in production; ability to design practical solutions for ambiguous problems
  • •Strong, production-quality code with a systems mindset; ownership and the ability to push work across the finish line
  • •End-to-end ML pipelines: data preparation, training, evaluation, inference, and iteration
  • •Experience with debugging ML models and system issues using real production signals; focus on latency, cost, reliability, and safety
  • •Ability to collaborate across research, product, and engineering to deliver user-impactful ML features
Experience:AIMachine LearningSoftware engineering
Skills:PythonPyTorchJAXGPU
Languages:English
Tech Stack:PythonPyTorchJAXGPU

Company Brief

BJAK
Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.
Industry: InsurTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Selangor, Malaysia
Founded: 2019
Glassdoor
Glassdoor: 2.5
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