ML Ops Engineer
Posted 15 May 2025
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
Join Civitta - an international company with 750+ colleagues across 20+ countries. We focus on management consulting, funding, and digital solutions. Originating from Central and Eastern Europe, we also deliver projects across Central Asia, the Middle East, and the United States.
Help businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.
Take a step towards your journey with us and join us as an ML Ops Engineer in the EU!
We are looking for an ML Ops Engineer to join an international, results-driven team working at the intersection of machine learning, cloud infrastructure, and high-quality software development. You’ll play a key role in taking projects from proof-of-concept to production, writing robust, scalable, and clean Python code.
Please note that only applicants residing in EU countries will be considered for this position.
You will:
- Design and implement end-to-end solutions, from prototype to production deployment;
- Collaborate with Data Scientists, Developers, and Analysts across the organization;
- Ensure production-grade quality in every deliverable — performance, security, maintainability;
- Build and optimize solutions leveraging LLMs, machine learning, and Vector DBs;
- Set up and manage infrastructure on Azure and AWS, including private endpoints and VPN integrations;
- Contribute to DevOps workflows to streamline CI/CD, monitoring, and deployment.
Requirements:
- 6+ years of total experience in software development (significant Python expertise);
- Business-oriented mindset;
- Good DevOps knowledge;
- Solid experience working with cloud platforms (Azure, AWS);
- Familiarity with LLMs and ML workflows in production environments;
- Experience with Vector DBs and secure network integrations (VPNs, private endpoints);
- Excellent communication skills and a results-oriented approach to problem-solving.
Benefits:
- Team bonding activities — we foster team cohesion through various initiatives and informal gatherings;
- Flexible schedule;
- Competitive salary.