MLOps Engineer

Short company description

At Evolve today we offer complex Human Resources services, from business consulting to headhunting and recruitment. We have extensive experience in finding talented professionals, for a variety of industries, especially in the IT sector.
We started with a dream: to create a Human Resources company with a strong, unique profile on the market, deeply shaped by our core values: commitment to performance, professionalism, a balanced approach and deep satisfaction for our clients.
From that moment, we nurtured special relationships and we continuously evolved, being flexible, but staying true to our values. We aim higher and higher and we invite you to EVOLVE with us!

Requirements

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!


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.

Responsibilities

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

Benefits

• Trainings
• Courses
• Transport cost reimbursement
• Discount for company products / discount for services of partner companies
• Extra days off
• Flexible work schedule
• Teambuildings / trips
• Parties / company events
• Laptop
• Mobile phone
• Company car
• Meal vouchers
• Gift vouchers