Responsibilities
- 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
Basic qualifications
- Expert in Python + strong coding skills
- Working knowledge of PyTorch
- 5+ years of ML engineering experience
- Experience with AWS cloud services
- Experience developing ML infrastructure and pipelines
- Strong hands-on experience with Kubernetes for ML workloads
- Experience deploying and managing containerized ML applications in production
- Bachelor’s/Master’s degree in Computer Science/ Engineering or a related field.
- 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
- 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 the company
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.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Mlops Pytorch Ai