TL;DR

Senior ML Ops Engineer (AI): Designing and implementing end-to-end machine learning operations infrastructure to support scalable, secure, and governed agent deployment with an accent on robust deployment pipelines, observability, and orchestration. Focus on enabling agentic AI systems, managing multi-agent orchestration, and ensuring seamless lifecycle management for models and agents.

Location: Hybrid in Prague, Czech Republic

Company

%hirify_global% is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology for an inclusive and sustainable future.

What you will do

Design and implement ML Ops infrastructure for deploying and managing AI agents at scale.
Administer and optimize the Databricks Mosaic AI platform for multi-tenant, governed usage.
Build agent deployment pipelines and manage agent lifecycle using MLflow and Mosaic AI tools.
Implement agent monitoring, logging, and performance tracking systems.
Orchestrate inference environments using Kubernetes and containerized runtimes.
Apply Infrastructure as Code (Terraform, ARM templates) and develop CI/CD pipelines for ML models and agents.

Requirements

Expert-level experience with Databricks Mosaic AI platform administration.
Deep understanding of agentic AI deployment pipelines and lifecycle management.
Proficiency with MLflow for tracking and managing models and agents.
Strong background in Kubernetes orchestration and containerized inference environments.
Solid knowledge of Infrastructure as Code (Terraform, ARM templates) and CI/CD pipelines in ML environments.
English: B2 required.

Nice to have

Familiarity with monitoring tools like Prometheus and Grafana.

Culture & Benefits

Supportive environment for continuous learning, including certifications and access to global expertise.
Flexible work culture based on trust, hybrid options, and relaxed hours.
Opportunities to contribute to social impact initiatives like Impact Together Week.
A wide range of employee perks: meal vouchers, Multisport card, birthday day off, office gym access, and monthly company breakfasts.