### Job_Dedcrip:
Address:.USA-PA-Carlisle-1170 Harrisburg Pike..Store Code:.Arch/Data - Business Intell & Analy (5119262)...Retail Business Services, ranked No. 25 on Fast Company's 2022 100 Best Workplaces for Innovators, is the services company of leading grocery retail group Ahold Delhaize USA, currently providing services to five omnichannel grocery brands, including Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Retail Business Services leverages the scale of the local brands to drive synergies and provides industry-leading expertise, insights and analytics to local brands to support their strategies. We are committed to diversity, equity and inclusion and we foster a community of belonging where everyone is valued.For more information, visit https:// www.retailbusinessservices.com ....Primary Purpose...This role will build teams to deliver and maintain a highly performant and scalable machine learning framework serving data scientists and machine learning engineers across business units and also deliver the data engineering pipelines and feature stores. This manager will embrace and incubate emerging technology and open-source products across all platforms. They will be accountable to drive a cohesive data strategy in collaboration with multiple enterprise partners and lead the work to modernize our existing tech stacks and data/ML/AI platforms. They will collaborate with internal teams to find areas of opportunities for automation and machine learning while partnering with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications....Duties & Responsibilities...• Responsible for ML Ops which includes deployment, data engineering, managing models in conjunction with the MLEs and platform engineering teams..• Responsible for leading the design, configuration, engineering, integration, and implementation of ML Ops platform components and services and advise the engineering teams that work across Agile teams to design, develop, test, implement and support Machine Learning and AI solutions...• Lead the ML Ops team that develops and maintains the ML Framework...• Deliver data-driven solutions that are customer focused, easy to consume and create sustained business value..• Develop and operationalize new program within each capability areas from RFP, to testing, to deployment, to assessments..• Drive centralized and actionable views to build research, monitoring, and reporting capabilities..• Leverage experience to build efficient and scalable ML/AI platforms utilizing best in class tools and services..• Build and maintain optimized and highly available data pipelines for both real-time and batch data processing to serve Data Scientists and MLEs..• Deliver end-to-end ML framework that is highly available, scalable, stable, secure, and cost effective..• Design and customize complex data models, search queries, deployment pipelines, and promote data-driven solutions in support of our technology strategies..• Provide expert level technical expertise to drive towards the right and practical solutions that meet the business needs within the required timelines..• Serve as the ambassador for all things data including data processing, cleansing, data platform engineering, data presentation, data architecture, analytics, and Machine Learning Ops..• Design and Deliver CI/CD pipelines to train and deploy NLP models serving chatbots, etc..• Effectively drive the teams to focus on the task at hand and align team objectives to corporate goals..• Collaborate with stakeholders (IT and business) to define and refine objectives and key results, strategic risk indicators, and metrics/scorecards to understand current health and drive insights into focus future focus areas for the team/division before issues occur/risks are realized. Surface insights to executive leadership, as needed, to update and influence..• Lead the evaluation of emerging AI/ML technologies including testing and integration of new solutions..• Monitor and evaluates internal and external technology trends and changes that could impact data driven security programs and capabilities..• Additional job duties may be assigned as needed to meet the needs of the business and support our values...Qualifications...• Master's degree in computer science, technical and/or business related field; equivalent trainings/certifications/experience equivalency will be considered..• 8 or more years of equivalent experience in relevant job or field of technology...• 5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly..• 5 or more years' experience directly responsible for guiding, training, or onboarding team members in relevant technologies, capabilities, or skills..• Experience designing, developing and maintaining complex data pipelines in a big data platform architecture utilizing Microsoft Data & Analytics Services (like Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL DW, HD Insight etc)..• Experience leveraging CI/CD with a preference for cross platform stacks and containerization (Azure DevOps, Git, Docker, AKS etc.)..• Experienced in agile software development lifecycle..• Experience with a distributed microservices and/or serverless cloud software architecture..• Experience with machine learning frameworks..• Exceptional problem solving and critical thinking skills..• Experience with GitHub Actions or Azure DevOps pipelines..• Experience working with Chatbot frameworks..#li-mm1 #li-hybrid #zr #dicejobs...Retail Business Services is an equal opportunity employer. We comply with all applicable federal, state and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law. We provide reasonable accommodations to applicants and employees with disabilities. As important as what we do is how we do it. Our team embodies our values of Courage, Care, Teamwork, Integrity and Humor in everything that they do. We have a culture of care that values and celebrates the qualities and perspectives that make us all unique....If you have a disability and require assistance in the application process, please contact our Talent Acquisition Department at tad@retailbusinessservices.com....Job Requisition: 283770_external_USA-PA-Carlisle_2172023

### Response:

Qualifications:- Master's degree in computer science, technical and/or business related field; equivalent trainings/certifications/experience equivalency will be considered.- 8 or more years of equivalent experience in relevant job or field of technology.- 5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly.- 5 or more years' experience directly responsible for guiding, training, or onboarding team members in relevant technologies, capabilities, or skills.- Experience designing, developing and maintaining complex data pipelines in a big data platform architecture utilizing Microsoft Data & Analytics Services (like Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL DW, HD Insight etc).- Experience leveraging CI/CD with a preference for cross platform stacks and containerization (Azure DevOps, Git, Docker, AKS etc.).- Experienced in agile software development lifecycle.- Experience with a distributed microservices and/or serverless cloud software architecture.- Experience with machine learning frameworks.- Exceptional problem solving and critical thinking skills.- Experience with GitHub Actions or Azure DevOps pipelines.- Experience working with Chatbot frameworks.