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Urgent! ML Engineer / Tech Lead Job Opening In Warsaw – Now Hiring eConsulting

ML Engineer / Tech Lead



Job description

Workplace: Hybrid model (2 days from the office per week), Warszawa/Łódź


Workload: Full-time


Contract type: Contract of Mandate / B2B


 


Role Overview


We’re looking for a Principal Machine Learning Systems Engineer (Tech Lead) to join a global leader in geospatial analytics.


In this role, you’ll become the technical owner and architect of Machine Learning workflow orchestration platform – a mission-critical ecosystem that underpins the entire AI division.

You’ll design, build, and maintain scalable infrastructure capable of supporting massive data and compute workloads, while leading a 5-person engineering team in Poland.


This position is ideal for a hands-on technical leader who thrives at the intersection of systems design, scalability, and team leadership.

You’ll spend roughly 30–40% of your time coding, while setting technical direction and mentoring your team.


 


Key Responsibilities



  • Act as the technical architect and owner of the ML orchestration platform powering all AI workflows.

  • Design and build large-scale distributed systems running on Kubernetes (up to 10,000 nodes).

  • Ensure platform reliability, scalability, and high availability in production environments.

  • Lead and mentor a team of 5 engineers (2 senior + 2 mid-level), fostering technical excellence and autonomy.

  • Collaborate closely with AI, SRE, and Data Engineering teams to streamline model training and deployment pipelines.

  • Define and drive best practices in CI/CD, observability, and cloud infrastructure management.

  • Stay hands-on with coding and architecture reviews (~30–40% time in technical delivery).

  • Take ownership of incident response, on-call rotations, and reliability improvements.


 


Required Skills & Experience


Must Have:



  • Kubernetes (K8s) – Deep, production-level expertise is non-negotiable.

  • Able to design and deploy clusters from scratch, manage massive workloads (10,000+ nodes).

  • Cloud Experience (AWS / GCP) – Strong hands-on experience managing infrastructure in cloud environments.

  • SRE / DevOps Background – Solid understanding of reliability engineering, monitoring, on-call operations, and CI/CD.

  • Programming Skills (Python preferred) – Strong coding ability; Go or Rust experts open to learning Python are also welcome.


 


Nice-to-Have:



  • Experience with MLOps platforms and lifecycle management.

  • Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow).


 


What we offer:




  • Access to LinkedIn Learning




  • B2B contract + benefits




Required Skill Profession

Computer Occupations



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