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Job Location: Chicago, IL
Works with Data Engineers and Data Scientists to operationalize machine learning models and analytics. Working to evangelize good model deployment practices for batch and real-time models. Integrating mlflow with Kubernetes. Working to ensure model monitoring is in place and the right measurements for each model are being selected.
Job Responsibilities
- Leads in the design and development of complex software that processes, stores and serves data and machine learning models for use by others.
- Designs and develops complex and large scale data structures and pipelines to organize, collect and standardize data to generate insights and intelligence to support business needs.
- Writes complex 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.
- Ensures that data and machine learning pipelines are scalable, repeatable and secure. Improves data consistency, integrity, Dev Ops and ML Ops.
- Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Designs data infrastructure for scalability, availability, and reliability.
- Participates in developing technical / business approaches and new or enhanced technical tools. Recommends the right tool and technology to deliver solutions objectively. Evaluates new technologies for continuous improvement.
- Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
- Create technical design documents and supporting materials
- Provides thought leadership to embrace modern AI/ML, data science and data analytics techniques as critical enablers for business decisions.
- Guides and mentors a wide range of audiences.
Walgreens (walgreens.com), one of the nation’s largest drugstore chains, is included in the Retail Pharmacy USA Division of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail and wholesale pharmacy. Walgreens is proud to be a neighborhood health, beauty and retail destination supporting communities across the country, and was named to FORTUNE* magazine’s 2019 Companies that Change the World list. Approximately 8 million customers interact with Walgreens in stores and online each day. As of August 31, 2019, Walgreens operates 9,277 drugstores with a presence in all 50 states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands, along with its omnichannel business, Walgreens.com. Walgreens also provides specialty pharmacy and mail services and offers in-store clinics and other health care services throughout the United States, most of which are operated by our health care strategic partners.
Basic Qualifications
- Bachelor’s degree and at least 8 years of experience in machine learning, software engineering, or data engineering; or graduate degree in a technical discipline with at least 6 years of experience in machine learning, software engineering, or data engineering
- Deep knowledge of SQL
- Extensive experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or Java
- Experience with REST API development
- Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines
- Experience interacting at the executive level
- Experience presenting to all levels of an organization, including the C-Suite level
- At least 5 years of experience contributing to financial decisions in the workplace.
- At least 5 years of direct leadership, indirect leadership and/or cross functional team leadership.
- Willing to travel up to 10% of the time for business purposes (within state and out of state).
Preferred Qualifications
- Experience using mlflow
- Experience using Apache Spark or Databricks
- Experience writing in Python, Scala, or Java at an expert level.
- Experience with Kubernetes deploy models for batch and real time usage.
- Experience in large scale model deployment environments
- Experience with Azure
- Experience with Scrum and/or Kanban, writing user stories and creating acceptance criteria
- Experience developing MLOps tools and frameworks
- Experience in mentoring or manage people
- Master’s Degree in Computer Science, Math, or Science
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