We are looking for a Senior Machine Learning Engineer to join our innovative team in developing a powerful API that will revolutionize the way we train ML models. You’ll have the opportunity to leverage Azure Databricks and Azure DevOps while working with cutting-edge GPU technology on-premise, integrating seamlessly with Azure cloud for data management.

Essential functions

• Lead the creation and maintenance of the Azure DevOps pipeline.
• Execute the Docker API via SSH for smooth integrations.
• Emulate the Databricks/Spark environment within Docker to drive innovation.
• Design and manage Databricks notebooks as APIs, bringing your ideas to life.

Qualifications

• Strong experience with Azure cloud, Databricks API, and Spark to create versatile Docker environments.
• Proven track record in training models on GPU.

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 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.