Role overview
We are looking for a Senior Machine Learning Engineer with expert python coding skills, Kubernetes , AWS and experience working with LLMs.
What you'll work on
- Support data ingestion, dataset management, model training, and inference workflows
- Design and implement MLOps infrastructure for traditional ML and large language models (LLMs)
- Develop and maintain scalable ML systems and pipelines
- Collaborate with cross-functional teams to deploy and monitor ML models in production
What we're looking for
- Hands-on experience with LLMs and generative AI
- Experience with other Big Data processing technologies
- CI/CD experience for ML workflows
- Experience with model versioning and experiment tracking tools
- Experience with Ray for ML training or inference
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- 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.