3 - 7 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

You should have an understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring. Experience in operationalizing ML models in production is required. You should possess knowledge of model drift and data drift detection techniques, as well as experience in model versioning and monitoring. Proficiency in AWS SageMaker for training, deploying, and hosting ML models, as well as AWS ECS (Elastic Container Service) for running containerized services, is essential. Additionally, Python programming skills are necessary for ML, pipelines, and scripting. As part of your job responsibilities, you will be expected to apply your understanding of the ML model lifecycle, operationalize ML models in production, utilize model drift and data drift detection techniques, manage model versioning and monitoring, work with AWS SageMaker and AWS ECS, and employ Python programming for ML, pipelines, and scripting. At GlobalLogic, we prioritize a culture of caring where people come first. You will experience an inclusive culture of acceptance and belonging, build meaningful connections with collaborative teammates, receive support from managers, and learn and grow daily. We are committed to your continuous learning and development, offering various opportunities to enhance your skills and advance your career. You will have the chance to work on interesting and meaningful projects that have a positive impact on clients around the world. GlobalLogic provides a balanced and flexible work environment, allowing you to achieve a healthy work-life balance. As a high-trust organization, integrity is a key value, and you can trust GlobalLogic to provide a safe, reliable, and ethical work environment. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to leading companies worldwide. Join us in transforming businesses and industries through intelligent products, platforms, and services, and be part of creating innovative digital products and experiences that shape the future.,

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