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.
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.

Proven experience leading MLOps or DevOps teams in a production environment.
Strong background in cloud platforms (AWS, Azure, or GCP), container orchestration (Kubernetes), and CI/CD pipelines.
Expertise in ML model deployment, monitoring, and lifecycle management tools.
Proficiency in programming languages such as Python and experience with infrastructure as code (Terraform, Ansible).
Excellent leadership, communication, and collaboration skills.
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

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

Lead Software Engineer – Data and Automation, Machine Learning Operations, Kubernetes, Python, Cloud Platforms, Docker, CI/CD

Key skills