Senior Machine Learning Engineer

Essential functions

• Build machine learning tooling for all phases of the ML lifecycle, including model training, data ETL, model evaluation, and deployment.
• Collaborate with technical and non-technical stakeholders to develop solutions that align LLMs to specific use cases.
• Develop reusable and user-friendly tools to integrate with existing data and machine learning systems.

Qualifications

• Strong understanding of machine learning principles, particularly related to Large Language Models (LLMs).
• 5+ years of proficiency in Python, including experience with machine learning frameworks (Jax, TensorFlow, PyTorch).
• Proven experience in building scalable deep learning systems.
• Familiarity with large-scale data infrastructure.
• Strong verbal and written communication skills with the ability to collaborate across internal/external teams and virtual environments.

Would be a plus

• BS/BA in Computer Science or equivalent field.
• Experience with Java/Scala.

We offer

• Opportunity to work on bleeding-edge projects
• 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.