Senior Engineer- Ml

About Inspire Brands Hyderabad Support CenterInspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies The companys technology hub Inspire Brands Hyderabad Support Center India will lead technology innovation and product development for the organization and its portfolio of distinct brands The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science data analytics eCommerce automation cloud computing and information security to accelerate the companys business strategy Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization workforce management loyalty management payments systems and more About Inspire Inspire Brands is a multi brand restaurant company whose current portfolio includes nearly 32 000 Arbys BaskinRobbins Buffalo Wild Wings Dunkin Jimmy Johns and SONICDriveIn locations worldwide The company was founded in 2018 and is headquartered in Atlanta Georgia About Inspire Brands Hyderabad Support Center Inspire fosters a culture of innovation that encourages team members to take risks test and learn We want to create an environment where ideas emerge and succeed at every level Inspire Brands is disrupting the restaurant industry through digital transformation across multiple brands The companys technology hub Inspire Brands Hyderabad Support Center will lead technology innovation and product development for the organization and its portfolio of distinct brands both current and future The Center will focus on developing new capabilities in data science data analytics eCommerce automation cloud computing and information security to accelerate the companys rapid growth and influence how we reach the guest and more importantly how the guest wants to interface with us Inspires Hyderabad Support Center will also host an innovation lab and collaborate with startups to develop solutions for productivity optimization workforce management loyalty management payments systems and more Why Inspire Brands Inspire and its six iconic global brands are driven by passionate team members with a collaborative innovative spirit and a desire to use technology to create memorable flavorful experiences for our guests worldwide At Inspires Hyderabad Support Center you ll get the opportunity to learn and grow with us What makes Inspire different in the way we approach technology is that we are building the capability to be extensible and scalable across our brands Inspire fosters a culture of innovation that encourages team members to take risks test and learn We want to create an environment where ideas emerge and succeed at every level not just at the top A supportive inclusive environment is very important to us Just as each of our brands are authentic and unique we also encourage our team members to do the same We re a stronger company because of it Join a company where we elevate each other and the communities we serve Develop solutions to ensure machine learning models placed into production are reliable and efficient including for real-time and streaming applications Conduct data curation and refinement ex removing duplicates in order to build standardized data inputs for model development Continuously monitor deployed models identify issues detect data drift and model drift of new and existing machine learning processes Provide automation capabilities within model workflows using ML orchestration tools and services Ensure reproducibility of models by supporting versioning of both data and code Perform UAT of new or changing data sources and impact on machine learning pipelines Perform data feature audits and assess impact to prevent data leakage and enhance model performance REQUIRED KNOWLEDGE SKILLS or ABILITIES MINIMUM REQUIREMENTS Bachelor s or Master s degree in Computer Science Information Systems Machine Learning Data Science or a related field Proficiency in programming languages such as Python and experience with machine learning libraries e g TensorFlow PyTorch scikit-learn 3-6 industry experience with at least 1-2 years relevant experience working with production machine learning pipelines PREFERRED 2-3 years relevant experience working with production machine learning pipelines Master s degree in Computer Science Machine Learning Data Science or a related field SKILL REQUIREMENTS Experience with data preprocessing feature engineering and data manipulation Familiarity with cloud platforms ex AWS Azure GCP and tools for model deployment and maintenance Experience with big data technologies e g Hadoop Spark and distributed computing Experience with version control systems such as Git Experience with database systems and SQL