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About The Position

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Software Engineer Lead within PNC's Data and Automation Machine Learning Operations Technology organization, you will be based in [city/state location of position]. Responsibilities include: - Lead and mentor a team of MLOps engineers to design, develop, and maintain scalable machine learning infrastructure and deployment pipelines. - Collaborate cross-functionally with data scientists, software engineers, and product teams to operationalize ML models and ensure robust, reliable production systems. - Drive best practices in CI/CD, automation, monitoring, and cloud infrastructure management specific to ML workflows. - Serve as a technical expert and functional lead in MLOps, influencing architecture decisions and technology adoption. - Contribute to strategic planning and continuous improvement of ML lifecycle management processes. - Discuss the leadership role in guiding the MLOps team and collaborating with cross-functional partners. - Highlight day-to-day responsibilities including pipeline development, infrastructure management, and troubleshooting production ML systems. - Emphasize opportunities to influence technology strategy and improve ML lifecycle processes. - Outline expectations for On-site work, occasional on-call support, and participation in project planning and execution. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Creates and leads the technical design and development of software solutions. Proposes & designs software solutions to address complex business needs. Prepares technical and procedural documentation required. Facilitates complex problem resolution. Provides technical guidance and support to colleagues. Reviews coding, testing, and documentation of software. Applies modern principles, methodologies and tools to advance business initiatives and capabilities. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Requirements

  • University / college degree, with 3+ years of relevant / direct industry experience.
  • In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

  • Application Development
  • Business Management
  • Cloud Infrastructure
  • Customer Solutions
  • Design
  • Docker (Software)
  • Group Problem Solving
  • Kubernetes
  • Process Improvements
  • Python (Programming Language)
  • Release Management
  • Software Solutions
  • User Experience (UX) Design
  • Application Delivery Process
  • Application Design
  • Architecture
  • Application Development Tools
  • Application Testing
  • Packaged Application Integration
  • System Development Life Cycle
  • Technical Troubleshooting

Responsibilities

  • Lead and mentor a team of MLOps engineers to design, develop, and maintain scalable machine learning infrastructure and deployment pipelines.
  • Collaborate cross-functionally with data scientists, software engineers, and product teams to operationalize ML models and ensure robust, reliable production systems.
  • Drive best practices in CI/CD, automation, monitoring, and cloud infrastructure management specific to ML workflows.
  • Serve as a technical expert and functional lead in MLOps, influencing architecture decisions and technology adoption.
  • Contribute to strategic planning and continuous improvement of ML lifecycle management processes.
  • Discuss the leadership role in guiding the MLOps team and collaborating with cross-functional partners.
  • Highlight day-to-day responsibilities including pipeline development, infrastructure management, and troubleshooting production ML systems.
  • Emphasize opportunities to influence technology strategy and improve ML lifecycle processes.
  • Outline expectations for On-site work, occasional on-call support, and participation in project planning and execution.
  • Creates and leads the technical design and development of software solutions.
  • Proposes & designs software solutions to address complex business needs.
  • Prepares technical and procedural documentation required.
  • Facilitates complex problem resolution.
  • Provides technical guidance and support to colleagues.
  • Reviews coding, testing, and documentation of software.
  • Applies modern principles, methodologies and tools to advance business initiatives and capabilities.

Benefits

  • medical/prescription drug coverage (with a Health Savings Account feature)
  • dental and vision options
  • employee and spouse/child life insurance
  • short and long-term disability protection
  • 401(k) with PNC match
  • pension and stock purchase plans
  • dependent care reimbursement account
  • back-up child/elder care
  • adoption, surrogacy, and doula reimbursement
  • educational assistance, including select programs fully paid
  • a robust wellness program with financial incentives
  • maternity and/or parental leave
  • up to 11 paid holidays each year
  • 9 occasional absence days each year, unless otherwise required by law
  • between 15 to 25 vacation days each year, depending on career level; and years of service.

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