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Machine Learning Engineer
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Job Description
- Req#: 32366511245
- Design and implement complex LLM applications for enterprise-scale solutions
- Lead LLM quality evaluation initiatives, including developing metrics and automated testing frameworks
- Drive LLM/VLM fine-tuning projects, including dataset preparation and optimization
- Develop and maintain ML pipelines following MLOps best practices
- Collaborate with cross-functional teams to integrate ML solutions
- Mentor team members on ML engineering best practices
- Contribute to architectural decisions for ML systems
- Evaluate and implement new ML technologies and frameworks
- Document technical designs and maintain engineering standards
- 5+ years of experience in Machine Learning Engineering
- Deep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systems
- Proven experience with LLM quality evaluation, including metric design and automation frameworks
- Strong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)
- Expert-level Python programming skills with focus on ML/data applications
- Solid understanding of MLOps and LLMOps principles and best practices
- Experience with production ML systems and scalable data processing pipelines
- MS/PhD in Computer Science, Machine Learning, or related field preferred
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Corporate social events
- Well-equipped office
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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.
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