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Senior Machine Learning Engineer

11 hours, 28 minutes ago
Poland, Ukraine
Full-time
Senior
Machine Learning Engineer
Software Development
AWS FastAPI GCP Grafana Kafka Kubernetes Machine Learning OpenTelemetry Prometheus Python Redis
Apply Now
GlobalDev Tech

GlobalDev Tech

Custom software engineering & staff augmentation company Globaldev drives businesses to maximize their potential with our custom software development and staff augmentation services. Globaldev Group supports the most exciting technology companies, by p...

Internet Software & Services
51-250
Founded 2021
View All Jobs 15

Description

  • Own and lead the design and development of low-latency inference services that handle billions of requests per day.
  • Build and scale real-time decision-making engines that combine machine learning models with business logic under strict SLAs.
  • Collaborate with data scientists to deploy models seamlessly and reliably into production.
  • Design runtime systems for model versioning, shadowing, and A/B testing.
  • Ensure high availability, scalability, and observability of production systems.
  • Continuously optimize latency, throughput, and cost efficiency using modern tooling and techniques.
  • Work independently while coordinating with cross-functional stakeholders across Algo, Infra, Product, Engineering, BA, and Business.
  • Support production-grade ML services with strong monitoring, diagnostics, and operational reliability.

Requirements

  • B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical discipline.
  • 5+ years of experience building high-performance backend or ML inference systems.
  • Deep expertise in Python.
  • Experience with low-latency APIs and real-time serving frameworks such as FastAPI, Triton Inference Server, TorchServe, or BentoML.
  • Experience with scalable service architecture, message queues such as Kafka or Pub/Sub, and async processing.
  • Strong understanding of model deployment practices, online/offline feature parity, and real-time monitoring.
  • Experience in cloud environments such as AWS, GCP, or OCI and container orchestration with Kubernetes.
  • Experience with in-memory and NoSQL databases such as Aerospike, Redis, or Bigtable.
  • Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.
  • Strong sense of ownership and the ability to drive solutions end to end.
  • Passion for performance, clean architecture, and impactful systems.

Benefits

  • Polish public holidays.
  • 20 working days per year as Non-Operational Allowance for personal recreation, compensated in full.
  • Health insurance.
  • Gym subscription (Multisport).
  • Opportunity to lead a mission-critical inference engine at the core of the product.
  • Fast-paced, collaborative, and empowered culture with full ownership of the domain.

Interested in this position?

Apply directly on the company website

Apply Now

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