Machine Learning Engineer

Essential functionsDesign and implement complex LLM applications for enterprise-scale solutionsLead LLM quality evaluation initiatives, including developing metrics and automated testing frameworksDrive LLM / VLM fine-tuning projects, including dataset preparation and optimizationDevelop and maintain ML pipelines following MLOps best practicesCollaborate with cross-functional teams to integrate ML solutionsMentor team members on ML engineering best practicesContribute to architectural decisions for ML systemsEvaluate and implement new ML technologies and frameworksDocument technical designs and maintain engineering standardsQualifications5 years of experience in Machine Learning EngineeringDeep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systemsProven experience with LLM quality evaluation, including metric design and automation frameworksStrong background in LLM / VLM fine-tuning and distributed training frameworks (Ray or similar)Expert-level Python programming skills with focus on ML / data applicationsSolid understanding of MLOps and LLMOps principles and best practicesExperience with production ML systems and scalable data processing pipelinesMS / PhD in Computer Science, Machine Learning, or related field preferredWe offerOpportunity to work on cutting-edge projectsWork with a highly motivated and dedicated teamCorporate social eventsWell-equipped officeAbout usGrid 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 residence

• Resume
• Social profileFirst name
• Last name
• E-mail
• PhoneCountry of Hiring Office
• Location of Hiring Office
• 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, 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.#J-18808-Ljbffr