About this role
Summary: Join a new fintech project to build and develop modern machine learning solutions. The role involves designing and operating model serving infrastructure, managing ML workflows, and deploying scalable distributed systems using Python, Databricks, and Kubernetes.
Salary: 1100 - 1600 PLN / MD
Work model: remote with occasional visits to the office (once a month in Warsaw, Kraków, or the Tricity area)
Why choose this offer?
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- You can expect a flexible work organization
- You will work for one of Poland’s leading organizations in the logistics and e-commerce industry
- The international work environment will give you the opportunity to work with leading experts from different teams and areas
- Your software will be used by millions of users, giving you the chance to make a real impact
- The Jit Community will bring you a nice time during regular integration meetings
Project
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We are looking for a Senior MLOps Engineer to join a new fintech project focused on building and developing modern machine learning solutions.
Requirements:
- 4+ years of experience in MLOps engineering or closely related platform engineering roles.
- 2+ years of experience designing and operating model serving infrastructure in production environments.
- Strong expertise in Python development.
- Hands-on experience with Databricks, including ML workloads and platform integrations.
- Strong knowledge of Apache Airflow for workflow orchestration.
- Advanced experience with Kubernetes and containerized environments.
- Practical experience with MLflow for experiment tracking, model registry, and deployment workflows.
- Strong understanding of Machine Learning lifecycle management and production ML operations.
- Experience implementing A/B testing, shadow deployments, and advanced release strategies for ML models.
- Experience with streaming platforms and CDC architectures.
- Strong knowledge of Infrastructure as Code principles and tools.
- Experience designing and implementing event-driven architectures.
- Understanding of cloud cost optimization and FinOps practices.
- Experience building highly available, scalable, and resilient distributed systems.
- Strong communication skills and ability to work across engineering and data teams.
- Fluent English communication skills.
Technologies you'll work with
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- Python
- Databricks
- Apache Airflow
- Kubernetes
- MLflow
- Infrastructure as Code (Terraform/OpenTofu)
- CI/CD Pipelines
Client – why choose this particular client from the Jit portfolio?
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This is an opportunity to join a well-established and rapidly growing Polish business and contribute to the development of a new fintech initiative from its early stages. The project combines the scale and stability of a large organization with the pace, autonomy and technical challenges of building a new business area. You’ll have a chance to work on solutions that directly support payments and financial products, using a modern technology stack and working alongside experienced technology teams.
About Jit Team
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The Human Factor of IT - it’s not just a slogan, it’s a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 770 experienced experts, to whom we offer developmental projects, a wide range of benefits, and a proprietary professional development programme. Together with clients from around the world, we create innovative IT solutions delivered by highly specialised and efficient teams.
Behind our maxim are also charitable and educational activities. We support schools, universities, and educational institutions by conducting workshops, running educational projects, sponsoring events, and donating learning equipment. We offer internships that help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We also support numerous charitable organisations helping people in need, children, and the elderly. We are a Polish company and we share what we have achieved over more than 15 years of activity. By supporting local initiatives, we contribute to the circulation of good energy.