Senior MLOps Engineer (AWS)

Essential functions

• Perform robust feature engineering, data preprocessing, and validation.

• Collaborate closely with data scientists, engineers, and stakeholders to translate business needs into actionable, high-performing ML solutions ML solutions.

• Deploy and manage machine learning models and associated pipelines, in production environments, ensuring reliability and reproducibility.

• Design, develop and maintain ML model feature pipelines using modern tooling and best practices, ensuring data quality, consistency and efficiency.

• Maintain clear documentation and actively contribute to establishing team-wide standards around ML model feature handling, model handover, and deployment processes.

Qualifications

• Proficiency in SQL, python programming and familiar  with PySpark.

• Experience with relational and NoSQL databases.

• Understanding of core machine learning concepts, common ML tasks, and ML model development and deployment workflow. 

• Hands-on experience with cloud platforms, primarily AWS (SageMaker, S3, Lambda, ECS, EC2, etc.), or other major providers such as GCP and Azure.

• Working knowledge of machine learning frameworks and libraries such as XGBoost, Scikit-learn, PyTorch, or TensorFlow.

• Experience in feature engineering, model selection, hyperparameter tuning, and performance evaluation.

• Experience with containerization and orchestration technologies, particularly Docker.

•  Familiarity with ML lifecycle and artifact management tools such as Databricks MLflow.

• Good communication and teamwork skills, capable of understanding requirements, seeking clarifications, articulating complex technical topics with project leads

• Strong sense of ownership with respect for timeline, proactiveness in unblocking themselves, driving tasks over finishline.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• 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.