#1 Job Board for tech industry in Europe

Senior Machine Learning Engineer
New
AI/ML

Senior Machine Learning Engineer

Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    English

    B2

    Machine Learning

    advanced

    Python

    advanced

    GCP

    regular

    MLOps

    regular

    Vertex AI

    regular

    BigQuery

    regular

    Composer

    regular

Job description

Online interview
Friendly offer

We are hiring experienced MLOps Engineers to join one of two high-impact, large-scale projects that focus on building and scaling modern MLOps platforms on Google Cloud Platform.


Depending on your experience and interests, you may join a project focused on:

  • Designing a centralized, enterprise-wide MLOps platform on GCP for a Fortune 500 client across various departments (Vertex AI, BigQuery, Airflow, ML pipeline standardization, governance, monitoring), or

  • Building customer-facing ML-powered features at global scale for a well-known consumer tech company, leveraging LLM APIs, NLP, and experimentation platforms (OpenAI, Hugging Face, Python, Spark, Docker, recommendation systems, etc.)


What You’ll Do

  • Design and implement scalable, production-grade ML pipelines and infrastructure

  • Collaborate with ML engineers, data scientists, and DevOps to ensure smooth model deployment and lifecycle management

  • Integrate best MLOps practices around CI/CD, monitoring, model tracking, and versioning

  • Work with tools like Vertex AI, Kubeflow Pipelines, Composer, and MLFlow

  • Contribute to experimentation (A/B testing, experiment tracking)

  • (Depending on the project) Work on LLM-based features, NLP pipelines, or content personalization systems using Generative AI


Required Qualifications

  • 3+ years of experience as an ML Engineer / MLOps Engineer

  • Strong Python programming skills

  • Hands-on experience with GCP – especially Vertex AI, BigQuery, Composer (Airflow)

  • Familiarity with MLOps tools and principles – CI/CD, model registries, experiment tracking, data quality checks

  • Ability to work in cross-functional teams and agile environments


Nice to Have

  • Experience with LLM APIs (OpenAI, Hugging Face) and Generative AI

  • Background in NLP, recommender systems, or personalization

  • Knowledge of Spark, GoLang, Docker, Kubernetes

  • Experience with customer-facing ML products

  • Enthusiasm for mentorship, clean architecture, and scalable system design


What We Offer

  • Opportunity to work on bleeding-edge projects

  • Work with a highly motivated and dedicated team

  • Competitive salary

  • Flexible schedule

  • Benefits package - medical insurance, sports

  • Corporate social events

  • Professional development opportunities

  • Well-equipped office


About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership inenterprise AI, supported by profound expertise and ongoing investment indata,analytics,cloud & DevOps,application modernizationandcustomer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Undisclosed Salary

B2B

Apply for this job

File upload
Add document

Format: PDF, DOCX, JPEG, PNG. Max size 5 MB

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Informujemy, że administratorem danych jest Grid Dynamics Poland z siedzibą w Krakowie, al. 3 Maja 9, 30-062 (dalej jako... more