Senior Machine Learning Engineer
Grid Dynamics
Data: há 1 dia
Tipo de contrato: Contratante
Remoto
Join a highly skilled engineering team building advanced machine learning frameworks to support large-scale model training, fine-tuning, and evaluation. This project plays a foundational role in accelerating ML development workflows and enhancing model performance through continuous infrastructure innovation and tooling development. You’ll work at the core of AI enablement—developing systems and frameworks that power large language models (LLMs) and cutting-edge deep learning applications.
As a Senior Machine Learning Engineer, you will design and implement scalable, reusable tooling that supports the full ML lifecycle—from data processing and model training to evaluation and deployment. You'll collaborate across engineering, research, and product teams to align LLMs with domain-specific requirements and deliver high-impact machine learning infrastructure.
Responsibilities
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.
As a Senior Machine Learning Engineer, you will design and implement scalable, reusable tooling that supports the full ML lifecycle—from data processing and model training to evaluation and deployment. You'll collaborate across engineering, research, and product teams to align LLMs with domain-specific requirements and deliver high-impact machine learning infrastructure.
Responsibilities
- Build machine learning tooling to facilitate various phases of the ML lifecycle from model training, data ETL, end-to-end model evaluation and deployment
- Work with technical and non-technical stakeholders to build solutions to align LLMs for specific use cases
- Deliver reusable and easy-to-use tooling to integrate with existing data and machine learning systems
- 5+ years of proficiency in Python, including machine learning packages like PyTorch, TensorFlow, or JAX
- Strong understanding of machine learning principles, especially in the context of LLMs
- Skills in Java/Scala (preferred)
- Experience building scalable deep learning systems
- Experience with large scale data infrastructure
- Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams
- BS/BA or equivalent degree in computer science or similar (preferred)
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Professional development opportunities
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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