Software Engineer Lead - Data and Automation Machine Learning (ML) Operations Technology (Kubernetes, Python, Cloud Platforms, Docker, CI/CD)

PNCPittsburgh, PAfull_timelead

$86,250 – $172,500 USD

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Lead and develop MLOps engineering capabilities to deliver scalable, enterprise-grade ML platforms.
  • Drive cross-functional alignment to accelerate the operationalization of machine learning solutions.
  • Champion standards for automation, CI/CD, and observability to ensure reliability and efficiency at scale.
  • Provide technical and strategic leadership in MLOps architecture and platform evolution.
  • Advance continuous improvement of ML lifecycle processes to enable faster, more reliable business outcomes.

Soft Skills

Machine Learning OperationsLeadershipCommunicationCross-Functional CollaborationBusiness ManagementCustomer SolutionsDesignGroup Problem SolvingProcess ImprovementsApplication Delivery ProcessApplication DesignArchitectureSystem Development Life Cycle

Benefits

  • 401k
  • Adoption
  • Back-Up Child/Elder Care
  • Dental
  • Dependent Care Reimbursement Account
  • Doula Reimbursement
  • Educational Assistance
  • Employee Stock Purchase
  • Health Savings Account
  • Life Insurance
  • Long-Term Disability Protection
  • Maternity Leave
  • Medical/Prescription Drug Coverage
  • Occasional Absence Days
  • Paid Holidays
  • Parental Leave
  • Pension
  • Short-Term Disability Protection
  • Surrogacy
  • Vacation Days
  • Vision
  • Wellness Program

Culture

Customer-ObsessedInclusive Hiring

Requirements

Required: Bachelors
Regions: Us

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About PNC
Industry: fintech
Size: enterprise

PNC is a financial services company with a strong focus on retail technology, aiming to deliver the best experience for its customers by fostering an inclusive workplace culture.

View company profile →
Compensation
Base salary: $86,250 – $172,500 USD
Equity: stock purchase plans
Bonus: incentive eligible with payment based upon company, business and/or individual performance