MLOps Deployment Specialist

Billennium; Warszawa; Hybrid; PLN 240,000 - 420,000; Full time

Benefits offered by this job

Udemy for Business

Private medical care

Multisport card

Language lessons

Welcome pack

Remote/hybrid options

Partnership perks

Job summary

Billennium is seeking an experienced MLOps Deployment Specialist to consolidate and standardize the ML deployment ecosystem across production environments.

You will deploy models from a centralized registry using Kubeflow, KServe, and other tools, building scalable pipelines and enforcing best practices across teams. This is a globally oriented tech employer that values collaboration and innovation.

Qualifications

• Strong hands-on experience with Docker and Kubernetes.
• Proven production-grade model serving via REST APIs and/or gRPC.
• Advanced Python programming skills for automation and deployment workflows.
• Hands-on experience with model registries, preferably Weights & Biases (W&B).
• Nice to have: Kubeflow, KServe, Dagster, CI/CD tools, AWS, and IaC practices.

Responsibilities

• Design, implement, and document robust deployment pipelines for ML models from a centralized registry.
• Integrate model deployment with environments such as Orbital Pipelines, Kubeflow, and KServe.
• Develop wrappers, SDK extensions, and deployment templates for TensorFlow, PyTorch, and Scikit-learn.
• Collaborate with MLOps teams to establish standards for model serving, monitoring, and endpoint health checks.
• Troubleshoot deployment, packaging, performance, and compatibility across ML serving environments.

Skills

Docker & Kubernetes

Python programming

REST/gRPC

Model registries (Weights & Biases)

Tools

Kubeflow

KServe

Dagster

CI/CD tools

AWS

Infrastructure as Code

Job description

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 Specialist who 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 APIs and/or gRPC .
• Advanced Python programming skills with practical experience in automation 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 Code practices.

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 events including 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