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Senior ML Engineer

US Remote, US

We are looking for a Senior Machine Learning Engineer with expert python coding skills, Kubernetes , AWS and experience working with LLMs.

Essential functions

  • 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

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.

Nice-to-Have Requirements

  • 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.

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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.