MLOps Engineer

TRANS.EU; Wrocław; On-site; PLN 150,000 - 280,000; Full time

Benefits offered by this job

LuxMed healthcare

Remote workstation budget

Gift vouchers

Buffet breakfasts

Team trips to resort

Multisport card

Job summary

TRANS.EU is seeking an ML Operations Engineer to build and maintain the infrastructure enabling ML models to run smoothly in production. You will work across GPUs, cloud, and on‑prem environments to tailor resources for teams, while designing CI/CD pipelines and model management tooling.

You will manage model registries, experiment tracking, and artifacts, deploy models to production, and build self‑service tools to accelerate deployment.

Qualifications

• Hands-on experience with CI/CD for ML models deployed in production.
• Ability to explain complex technical concepts simply.
• Proven collaboration with data science and ML teams.
• Experience with ML experimentation, model registries, and feature versioning.
• Familiarity with Snowflake for data retrieval and cost control.

Responsibilities

• Maintain and improve ML model training and deployment infrastructure.
• Design and implement ML CI/CD pipelines.
• Manage model registries, experiments, and artifact/versioning.
• Deploy models to production and build self-service tooling.
• Monitor production models for drift and performance; implement alerts.
• Develop MLOps standards and support GenAI/LLM initiatives.

Skills

CI/CD for ML models

Explain complex concepts clearly

Collaborate across teams

Polish language (B1+)

English language (B1+)

Experiment tracking

Model registries

Feature versioning

Communication

Data/ML infrastructure tooling

Tools

Python

SQL

Docker

Kubernetes/EKS

AWS (S3)

MLflow

Dagster

Airflow

Kubeflow

LiteLLM

Snowflake

Git

Terraform

Job description

We are looking for someone who enjoys organizing things, pays close attention to detail, and thrives in navigating day-to-day challenges. It is important to us that you can explain technical concepts in a simple, accessible way and find solutions that streamline the work of data science and machine learning teams.

The role & the team:

Our team builds and maintains the infrastructure and processes that enable machine learning models and AI-driven solutions to run smoothly in production. We collaborate closely with teams, helping them bridge the gap from experimentation to production-ready solutions that run reliably, securely, and cost-effectively.

What will you do:

Ensuring the infrastructure used for model training and deployment runs smoothly, remains highly available, and utilizes resources efficiently. You will work across GPUs, cloud platforms, and on-premises infrastructure, tailoring them to team needs.

Designing and developing CI/CD pipelines for ML models, covering training, validation, deployment, and model retirement/decommissioning.

Managing model registries, experiment tracking, and artifact/feature versioning.

Deploying models to production and building self-service tools, templates, and solutions that empower teams to move faster and more independently from concept to deployment.

Monitoring production models, including performance degradation, drift, and resource usage. Implementing mechanisms for rapid issue resolution, such as alerting and automated rollbacks.

Developing MLOps standards and documentation, as well as supporting infrastructure for GenAI and LLM-based solutions (e.g., model gateways, request routing, cost control, agentic systems).

Required skills:

Experience: Hands-on knowledge of CI/CD processes for ML models, as well as deploying and maintaining models in production.

Languages: Proficiency in Polish and English at a B1 level or higher.

Tech stack & tools: Proficiency in Python, SQL, Docker, Kubernetes/EKS, and AWS services used in ML (such as S3 and compute resources). Familiarity with experiment tracking and model management tools (e.g., MLflow), ML orchestration pipelines (e.g., Dagster, Airflow, or Kubeflow), and LLM serving tools (e.g., LiteLLM). Experience with Snowflake is also key—particularly for efficient and cost-effective data and feature retrieval—along with Git, Terraform, and tools for service/model monitoring.

Work approach: The ability to explain complex technical concepts simply, handle unexpected issues effectively, and configure environments with precision. We value a collaborative mindset—someone attentive to other teams’ needs who actively seeks solutions to make their everyday work easier.

What your future teammates love the most:

• Private LuxMed healthcare, free preventive check-ups, spine-relieving massages.
• Budget for remote workstation equipment and gift vouchers.
• On-site buffet breakfasts prepared fresh daily.
• Team-building and family trips to a private lakeside resort.
• Subsidy for a Multisport card.

About us:

We are at the heart of the digital revolution in transportation. Since 2004, we’ve been building one of the largest logistics platforms in Europe , bringing together carriers, forwarders, and shippers in one place. We automate processes, enhance transaction security, and make transport more efficient .

We’re an international tech company operating in 13 countries, and we’re just getting started. We develop cutting-edge digital solutions for transport, freight forwarding, and logistics, powered by the expertise of top developers, customer experience specialists, machine learning engineers, and AI experts . If you’re looking to shape the future of transport technology – this is the place for you!

At Trans.eu, we believe in Smart & Fair Logistics – a more efficient and transparent industry. That’s why we’ve expanded our capital group, building a network of specialized companies that help us drive this mission forward.

“What I value most at Trans is the dynamic environment and the fact that I have a real impact – every day brings new challenges I can tackle on my own terms.”

“Trans surprised me with its culture and atmosphere – and the fact that it truly offers real opportunities for growth.”