MLOps Deployment Architect - Remote & Scalable Pipelines

Billennium; Warszawa; Hybrid; PLN 240.000 - 420.000; Vollzeit

Benefits dieser Stelle

Udemy for Business

Private medical care

Multisport card

Language lessons

Welcome pack

Remote/hybrid options

Partnership perks

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Docker & Kubernetes

Python programming

REST/gRPC

Model registries (Weights & Biases)

Tools

Kubeflow

KServe

Dagster

CI/CD tools

AWS

Infrastructure as Code

Jobbeschreibung

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.