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Senior Machine Learning Engineer
  • Kraków
Senior Machine Learning Engineer
Kraków, Kraków, Lesser Poland Voivodeship, Polska
Grid Dynamics Poland
7. 11. 2024
Informacje o stanowisku

We are seeking a Senior Machine Learning Engineer to join our innovative team! In this role, you’ll leverage your expertise in Python and Azure to build and enhance cutting-edge machine learning solutions on Google Cloud Platform (GCP).


Essential functions

  • Develop and deploy advanced machine learning models and optimization solutions.
  • Design end-to-end ML pipelines while collaborating with cross-functional teams.
  • Create tools to monitor LLM performance and ensure responsible AI practices.
  • Conduct experiments to improve model accuracy.


Qualifications

  • Proficient in Python with experience in vector databases and LLM frameworks (e.g., Langchain).
  • Strong background in AI solutions and cloud platforms (GCP, Azure).
  • Familiar with observability tools like Prometheus and Grafana.
  • Excellent communication skills to convey technical concepts.


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

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