ML Engineer

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.

Responsibilities

• 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
  
  

Requirements

• 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)
  
  

Nice to have

• 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.