Senior Machine Learning Engineer
Walgreens
Job Summary :
As a Senior Machine Learning Engineer, you will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With your deep expertise in ML engineering and a focus on best practices, you’ll ensure that our solutions are robust, scalable, and aligned with business goals. You will also drive improvements in deployment practices, including API integration, CI/CD pipelines, and container orchestration using modern technologies.
Job Responsibilities :Develops software that processes, stores and serves data and machine learning models for use by others.Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development, and to deploy models to production.About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.
As a Senior Machine Learning Engineer, you will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With your deep expertise in ML engineering and a focus on best practices, you’ll ensure that our solutions are robust, scalable, and aligned with business goals. You will also drive improvements in deployment practices, including API integration, CI/CD pipelines, and container orchestration using modern technologies.
Job Responsibilities :Develops software that processes, stores and serves data and machine learning models for use by others.Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development, and to deploy models to production.About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.
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