Principal Consultant-Senior ML Engineer

1 month ago

Hyderabad, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Principal Consultant-Senior ML EngineerThe ML Engineer will focus on supporting the Growth Data Sciences team in data integration, model deployment and output integration with customer facing web and app applications.Responsibilities• Developing functionality in Shutterfly’s Data Science Management Platform (DSMP), building model features, developing data pipelines and API integration.• Support migration and deployment of ML models from the legacy platform to DataBricks, rebuilding workflows to accommodate new tools and providing support in managing models.• Configure and optimize ML model deployments, improving performance and throughput.• Assist Data Scientists in identifying and enhancing new data sources.• Developing standardized APIs for internal use, ex. Modeling utilities for Data scientists and working with engineering to deploy models for production applications.• Monitor and maintain deployed models, troubleshooting issues and improved performance.• Generate reports on model performance, effectiveness, and areas of improvement.Qualifications we seek in youMinimum Qualifications• Master’s degree in computer science (Machine Learning, AI, Statistics, or equivalentPreferred Skills• Hands-on experience in software development and deploying machine learning models• Good skills with Spark/Python/Perl• Experience with development and deployment in Databricks• Experience with state-of-the-art ML frameworks such as Sklearn, Tensorflow and PyTorch.• Advanced knowledge of data querying skills (SQL)• Usage of cloud compute solutions, eg. AWS• Experience with version control systems such as Github• Hands-on experience with Unix and shell scripting• Good understanding of REST APIs required• Ability to analyze and interpret complex data, draw meaningful insights and make data-driven decisions• Strong communication and teamwork abilities• Detail oriented

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