AI Resume Builder
JOIN NOW Post Job
Evolve today
AI

MLOps Engineer

Evolve today · București, IF, RO

Actively hiring Posted 5 months ago

We’re hiring: MLOps Engineer | Hybrid | Bucharest

For our business partner, a global tech innovator expanding in Romania, we’re looking for a skilled MLOps Engineer to join their AI & Data team.

You’ll work on international projects in Machine Learning, Generative AI, and Data Engineering, using tools like GCP, Vertex AI, Terraform, Python, and SQL.

If you have solid MLOps/DevOps experience and want to build scalable ML pipelines in a collaborative, forward-thinking environment, this is your chance to make an impact.

  • Hybrid role based in București
  • Global exposure & cutting-edge tech
  • Culture of innovation, growth & teamwork

**Let’s connect if this sounds like your next move!

Responsibilities:**

  • Development and enhancement of our MLOps framework and establishment across ML projects
  • Building and maintaining ETL/ML pipelines using GCP services, Airflow, and modern orchestration tools
  • Implementation of CI/CD processes and GitLab pipeline development for automated ML deployments
  • Infrastructure management using Terraform, containerization (Docker), and cloud-native GCP services
  • Technical support for Data Science teams in MLOps/DevOps implementation and best practices
  • Monitoring and optimization of production ML systems for stability, performance, and scalability
  • API development and integration to enable seamless data flow and model serving
  • Collaboration with cross-functional teams to improve ML system maturity and operational excellence

Your profile:

  • Bachelor's/Master's degree in Computer Science, Software Engineering, or equivalent field
  • 3-5+ years of proven track record in Data Engineering, MLOps, or DevOps environments
  • Demonstrated experience in agile working methodologies and cross-functional teams
  • Extensive experience in data processing, ETL & ML pipeline development, and orchestration
  • Strong software development proficiency in Python and SQL with clean code principles
  • Hands-on experience with GitLab CI/CD, developing CI components, and automated pipelines
  • Deep expertise in GCP ecosystem and native services: GCS, BigQuery, CloudRun, VertexAI
  • Proficient in containerization technologies (Docker, dev-containers) and microservices
  • Skilled in Infrastructure as Code (Terraform), dbt, and Airflow orchestration
  • Experienced in API development and modern DevOps practices
  • Collaborative team player with a strong service mindset towards Data Science teams
  • Pragmatic problem-solver who balances technical excellence with business needs
  • Strategic thinker who maintains oversight in complex technical landscapes
  • Self-driven and organized approach to managing multiple priorities
  • Full professional proficiency in English.

Tipul jobului: Cu normă întreagă, Perioadă nedeterminată

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Mlops Data Engineer Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support