Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!
About the Client
We are looking for an experienced MLOps Deployment Specialistwho will join a strategic project for our client, focused on consolidating and standardizing the MLOps ecosystem. In this role, you will support the deployment of machine learning models from a centralized model registry into multiple production environments, driving automation, scalability, and operational excellence across the ML lifecycle.
What you will do
- Design, implement, and document robust deployment pipelines for machine learning models stored in a consolidated model registry.
- Integrate model deployment processes with target environments such as Orbital Pipelines, Kubeflow, and KServe.
- Develop wrappers, SDK extensions, and deployment templates to support various ML frameworks, including TensorFlow, PyTorch, and Scikit-learn.
- Collaborate with MLOps teams and stakeholders to establish standards for model serving, monitoring, endpoint health checks, and operational best practices.
- Troubleshoot deployment, packaging, performance, and compatibility issues across diverse ML serving environments.
What we are looking for
- Strong hands-on experience with Docker and container orchestration platforms, preferably Kubernetes.
- Proven expertise in building and maintaining production-grade model serving solutions using REST APIsand/or gRPC.
- Advanced Pythonprogramming skills with practical experience inautomation and deployment workflows.
- Hands-on experience working with model registries, preferably Weights & Biases (W&B).
- Nice to have: experience with Kubeflow, KServe, Dagster, CI/CD tools, AWS, and Infrastructure as Codepractices.
Perks and benefits (our offer)
- Comprehensive benefits- enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
- Flexibility- adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
- Career growth- access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
- Global collaboration- work with a diverse, international team.
- Innovative environment- be part of a forward-thinking and growth-oriented workplace.
- Engaging community- Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
- Team-building eventsincluding our company tradition
- A pleasant surprise to start your journey with us in the form of a welcome pack.
Recruitment process
- HR call
- Technical Interview
- Interview with the dedicated Client
- Final decision / Feedback
Sounds interesting? Click"Apply"and have a chance to hear more!

