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AI Summary
Ciklum is looking for Expert ML Ops Engineer a to join our team full-time in Poland.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
We are looking for a Expert ML Ops Engineer to help us build and standardize the ML platform behind our biotech process modeling products.
This is a platform and tooling role. It is not mainly a model research role. Your job is to make ML development easier, safer, and more reproducible for Process Model
Scientists and Machine Learning Engineers. You will work on the systems around ML: workflows, artifacts, experiment tracking, dataflow, reproducibility, governance, and delivery. In our domain, model quality is not only accuracy, loss, or inference speed. A change can look fine in generic ML metrics and still be wrong if it changes scientific outputs such as amino acids, salts, metabolites, biological constraints, or process variables. For example, a pipeline change may be unacceptable if it affects outputs such as L-Arginine, NaH, or other process-specific variables, even when standard ML metrics look fine.
Responsibilities:
- ML workflow orchestration using Flyte or similar systems
- Experiment tracking using MLflow or equivalent tools
- Artifact management for datasets, models, reports, validation outputs, and scientific results
- Dataflow and artifact flow across the ML lifecycle
- Versioning, lineage, traceability, and reproducibility of ML workflows
- Automation of repetitive experimentation and delivery tasks
- Reliability, observability, and debugging of ML workflow execution
- Standards and best practices for scientific ML governance
Requirements:
- Strong software engineering background
- Practical experience with MLOps, ML platforms, workflow orchestration, experiment tracking, or artifact management
- Strong Python skills
- Experience with Docker and Kubernetes or similar systems
- Experience with cloud environments such as AWS, GCP, or Azure
- Good understanding of CI/CD, reproducibility, observability, and production-grade software practices
- Ability to work with complex data workflows and distributed systems
- B.S. in Engineering, Computer Science, Data Engineering, or a related technical field
- High autonomy: notices what is broken, fixes it, and turns repeated problems into reusable platform improvements
What’s in it for you?
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Flexibility: Enjoy flexibility – full remote working possibilities
- Care: We've got you covered with company-paid premium medical package through Luxmed
- Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs
About us:
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.
With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
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