An Machine Learning Ops Architect needs a combination of technical skills, including expertise in machine learning, software engineering, and data engineering, along with strong communication and leadership abilities. They are responsible for designing, implementing, and managing the end-to-end Machine Learning Ops pipeline, implementing Features in Feature store, ensuring models are deployed efficiently, monitored effectively, and maintained throughout their lifecycle.
• Machine Learning: Solid Understanding of ML algorithms, model building, training, and evaluation.
• Feature Store – Experience with offline and online Feature Store
• Software Engineering: Proficiency in programming (Python, Java, etc.), CI/CD pipelines, Docker, Kubernetes, and other software development tools.
• Data Engineering: Experience with data ingestion, storage, processing, and data pipelines.
• Cloud Platforms: Experience with cloud services like AWS, Azure, or GCP. AWS Sagemaker will be preferred.
• Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation.
• Monitoring and Alerting: Ability to set up and interpret monitoring metrics for model performance and infrastructure health.
Job Description- Participates in defining functional designs and application systems architecture across all technologies and platforms.
- Designs an application's technical infrastructure, such as specific databases, programming languages, utilities, and testing approaches.
- Participates in the assessment of software defects discovered during the quality assurance process.
- Participates in addressing enterprise-wide platform and technology requirements for applications.
- Develops detailed programming instructions to solve business problems through automation support.
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.
QualificationsSuccessful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and requiredneeded to be successful in this position.
Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical KnowledgeAnalytical Thinking, Application Development Tools, Industry Knowledge, IT Architecture, Platform Architecture, Products and Services, Service Oriented Architecture Technologies, Software Process Improvement (SPI)Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.No Required Certification(s)No Required License(s)
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California ResidentsRefer to the