Machine Learning Platform Engineer

BJAK
Germany
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Ownership","Experimentation","Continuous improvement","Communication"]

Build and operate the infrastructure that powers A1’s AI capabilities end-to-end—from data pipelines and model training/evaluation to deployment, inference, and continuous improvement. Partner with AI engineers, researchers, and product teams to deliver reliable, scalable, and cost-efficient production systems. Focus on low-latency, high-throughput model serving, robust evaluation/benchmarking, and production observability to detect and diagnose regressions quickly.

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FursaFursa
BJAK
BJAK
17 hours ago

Machine Learning Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and operate the infrastructure that powers A1’s AI capabilities end-to-end—from data pipelines and model training/evaluation to deployment, inference, and continuous improvement. Partner with AI engineers, researchers, and product teams to deliver reliable, scalable, and cost-efficient production systems. Focus on low-latency, high-throughput model serving, robust evaluation/benchmarking, and production observability to detect and diagnose regressions quickly.
Location: Germany
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Build and operate 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, low-latency workloads.
  • •Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement.
  • •Implement production observability (monitoring, tracing, alerting) for AI/ML workloads and diagnose bottlenecks across the ML stack.

Key Requirements

  • •Strong software engineering fundamentals and 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 ambiguous, fast-moving environments.
Experience:Machine learningAI infrastructureProduction systemsDistributed systems
Skills:OwnershipExperimentationContinuous improvementCommunication
Tech Stack:PythonPyTorchJAXVLLMSGLangTensorRT-LLMLLMCloud infrastructureDistributed systemsGPU infrastructureVector databasesRetrieval infrastructureML/data pipelinesWorkflow orchestration

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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