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Civitta

International management consulting and digital services

Machine Learning Operations Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeGermanyNo salary listed

About the Job

Requirements

  • At least 6 years of total experience in software development, with significant Python expertise.
  • A business-oriented mindset.
  • Good DevOps knowledge.
  • Solid experience working with cloud platforms, specifically Azure and AWS.
  • Familiarity with large language models and machine learning workflows in production environments.
  • Experience with vector databases and secure network integrations, including VPNs and private endpoints.
  • Excellent communication skills and a results-oriented approach to problem-solving.

Responsibilities

  • 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, including performance, security, and maintainability.
  • Build and optimize solutions leveraging large language models, machine learning, and vector databases.
  • Set up and manage infrastructure on Azure and AWS, including private endpoints and VPN integrations.
  • Contribute to DevOps workflows to streamline continuous integration and continuous delivery, monitoring, and deployment.

About the Company

Civitta

International management consulting and digital services

Civitta is an international management consulting and digital services group offering strategy, public policy and economic development advisory, funding facilitation, and digital product development for governments, corporations, and growth-stage companies. It combines policy research, innovation programs, digital transformation, sustainability projects, and custom software development (web, mobile, platform), along with help securing European public funding; engagements are project-based and led by multidisciplinary teams. It differentiates itself with a pan-regional presence across 20+ countries, cross-sector experience, and the ability to bridge strategy with hands-on implementation, including software creation and funding access. Its goal is to connect strategic planning with practical execution and policy/programmatic support to help public and private sector clients grow, innovate, and access funding.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Tartu, Estonia
Founded
2000

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