Senior MLOps Engineer

The ideal candidate will be responsible for maintaining product and industry knowledge. You will work in a team-oriented environment that accelerates operational efficiency. Essential functions Design and implement GPU optimization strategies to maximize utilization and reduce latency for ML workloads Develop and maintain distributed training pipelines using Ray framework for large-scale model development Manage and optimize ML infrastructure across multi-cloud environments focusing on cost-efficiency and scalability Build monitoring and profiling tools for GPU performance analysis and resource allocation optimization Collaborate with data scientists and ML engineers to streamline model training, inference, and deployment processes Implement best practices for workload orchestration, fault tolerance, and auto-scaling in cloud environments Stay current with GPU architectures, ML frameworks, and cloud technologies to drive continuous infrastructure improvements Qualifications 5+ years of ML infrastructure experience with 3+ years focused on GPU optimization Hands-on experience with AWS/EKS for ML workloads in production environments Bachelor's or Master's degree in Computer Science, Engineering, or a related field Proven expertise with Ray framework (Ray Train, Ray Tune, Ray Serve) for distributed ML computing Strong CUDA programming skills for GPU performance optimization (cuDNN, TensorRT experience preferred) Proficiency with deep learning frameworks (TensorFlow, PyTorch, JAX) and performance tuning Experience with Kubernetes, Terraform, and infrastructure-as-code practices Strong analytical and problem-solving skills for complex performance bottlenecks Ability to collaborate effectively with data science, engineering, and DevOps teams We offer Opportunity to work on cutting-edge projects Work with a highly motivated and dedicated team Corporate social events 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. Apply to the position

Country of application* Resume* Social profile First name* Last name* E-mail* Phone City of application* Consent to the processing of personal data in future recruitment processes* I hereby give my consent to the Grid Dynamics Group to process my personal data contained in the application documents for the purpose of using my application in future recruitment processes. 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 age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability, or any other protected category. All employment decisions are based on qualifications, merit, and business need.

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