ML Engineer

Iasi, Bucharest, Romania

We are looking for a Machine Learning Engineer to help build intelligent, scalable systems that go beyond traditional AI assistants. You will work on cutting-edge solutions involving expert systems, proactive recommendations, and generative AI. This role offers the chance to contribute to a high-impact, innovation-focused project in a collaborative environment.

Essential functions

  • Collaborate with cross-functional teams to design and implement AI-driven solutions

  • Develop and refine machine learning models to solve real-world problems

  • Analyze data to extract insights and improve system performance

  • Contribute to the overall architecture and direction of intelligent systems

  • Stay up to date with advancements in AI and apply them to ongoing projects

Qualifications

  • Solid experience with Python

  • Experience with frameworks like Pydantic AI, LangChain, LangGraph, or similar

  • Experience with frameworks like FastAPI, django or Flask

  • Experience with cloud (any cloud work - AWS/Azure)

  • Working knowledge of LLM capabilities and cloud platforms (AWS, Azure, GCP)

Would be a plus

  • Experience with demand forecasting domain

  • Experience with deploying models

  • Experience with CI/CD and DevOps

  • Experience as a Prompt/Context engineer

We offer

  • Work on bleeding-edge projects on a team of experienced and motivated engineers

  • Flexible working hours

  • Specialisation courses

  • 24 days annual leave + an additional of 5 sick days

  • Floating Holidays

  • Private medical subscription for employees and their family members

  • Benefits basket with the total value of 650 euro/year

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 in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Apply to the position

apply status Information on personal data processing
decline status You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING”

    decline-status file-icon
    Invalid file size or format. DOC, DOCX, TXT, PDF (2 MB)
    Invalid phone format

    Consent to the processing of personal data in future recruitment processes*

    We are committed to maintaining a transparent and ethical workplace. To learn more about how we support open communication, please review our Whistleblower Policy.

    decline-status file-icon
    Invalid file size or format. DOC, DOCX, TXT, PDF (2 MB)
    Submitting
    decline status

    Applications for this job are no longer accepted. Please explore other open opportunities on our platform.

    Vacancy

    Thank you!

    You applied for the position ML Engineer successfully. We will get back to you soon. Have a great day!

    check

    Something went wrong...

    There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to

    Retry

    Something went wrong...

    Please double-check the information filled in the form, and make sure to provide valid data.

    Retry

    Don’t see the right opportunity?

    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.