Machine Learning Platform Engineer

BJAK
Spain
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Ownership","Experimentation","Continuous improvement","Reliability focus","Debugging/regression diagnosis","Collaboration"]

Build and operate the ML infrastructure that powers A1’s AI capabilities, covering model training/evaluation, deployment, inference, and experimentation. Own high-throughput, low-latency model serving and improve reliability, scalability, latency, and cost. Create data and CI-ready pipelines for training and evaluation, plus observability (monitoring, tracing, alerting) to detect and diagnose regressions. Enable faster iteration for AI engineers and researchers by developing reusable platform primitives.

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FursaFursa
BJAK
BJAK
17 hours ago

Machine Learning Platform Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 6 hours ago

Job Summary

Build and operate the ML infrastructure that powers A1’s AI capabilities, covering model training/evaluation, deployment, inference, and experimentation. Own high-throughput, low-latency model serving and improve reliability, scalability, latency, and cost. Create data and CI-ready pipelines for training and evaluation, plus observability (monitoring, tracing, alerting) to detect and diagnose regressions. Enable faster iteration for AI engineers and researchers by developing reusable platform primitives.
Location: Spain
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Build and operate the ML infrastructure and platforms powering A1’s AI products.
  • •Design systems for model training, evaluation, deployment, inference, and experimentation.
  • •Optimize model serving and inference infrastructure for high-throughput and low-latency workloads.
  • •Improve reliability, scalability, latency, and cost efficiency of AI systems and identify stack bottlenecks.
  • •Develop observability (monitoring, tracing, alerting) and evaluation/benchmarking infrastructure to detect and diagnose regressions.

Key Requirements

  • •Strong software engineering fundamentals with experience building production systems.
  • •Experience building ML infrastructure, platforms, or production machine learning systems.
  • •Experience with model deployment, inference, evaluation, or data pipelines.
  • •Strong understanding of distributed systems and system reliability.
  • •Ability to write clean, maintainable, production-quality code in fast-moving, ambiguous environments.
Experience:Production machine learningLLMsDistributed systemsML infrastructureAI/ML
Skills:OwnershipExperimentationContinuous improvementReliability focusDebugging/regression diagnosisCollaboration
Tech Stack:PythonPyTorchJAXVLLMSGLangTensorRT-LLMLLMCloud infrastructureDistributed systemsML/data pipelinesWorkflow orchestrationGPU infrastructureVector databasesRetrieval infrastructure

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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