Solution Architect - Contractor

at  PNC

Position Location: Hybrid (3 days in office) - Pittsburgh, PA or Cleveland, OH
Job Summary:
Join our team in mitigating risk within the bank by leveraging your technology-based background to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud platforms. As a key member of our team, you will be responsible for building MLOps pipelines, supporting platform stability and security, integrating AML modeling platforms, and implementing CI/CD practices across various model ecosystems. Your role will involve data science model review, optimization, deployment, and monitoring while collaborating with a team of data scientists and engineers to drive innovation.

Responsibilities:

• Design, implement, and operate MLOps framework on cloud platforms like AWS
• Build MLOps pipelines using Amazon SageMaker and PNC’s DevOps tools
• Support platform stability and security for TND-URSIT related projects
• Integrate AML modeling platforms into the FRAAML ecosystem
• Implement CI/CD practices across model and application ecosystems
• Review data science models, optimize code, containerize models, deploy versions, and monitor quality
• Develop tools for Data Science and ML Research including Model Monitoring and Governance
• Test data science models, automate validation tests, and document processes

Skills:

• Proficiency in building MLOps pipelines on AWS SageMaker
• Experience with AML Model ecosystem support like FRAAML
• Hands-on experience in DevOps tools such as Jenkins, Bitbucket, Kubernetes, OpenShift
• Strong programming skills in Python/Java with knowledge of TensorFlow
• Familiarity with AWS services and Node.JS

Qualifications:

• Bachelor’s degree in Computer Science or related field required
• 3-5 years of relevant work experience

Exciting Job Opportunity:
This role offers a unique opportunity to work within large cross-functional teams dedicated to innovation in combating financial crimes like Anti Money Laundering and Fraud prevention. You will be at the forefront of exploring new AI/ML use cases while contributing to cutting-edge projects that make a real impact. If you are passionate about leveraging technology to mitigate risks and drive change in the banking industry, this role is perfect for you.
*This is a contract role with the right to hire if a need becomes available. Manager will only look at candidates who are open to converting to a full time PNC employee. PNC will not sponsor work visas if the decision is made to hire the contingent worker.

• Design, implement, and operate MLOps framework on cloud platforms like AWS
• Build MLOps pipelines using Amazon SageMaker and PNC’s DevOps tools
• Support platform stability and security for TND-URSIT related projects
• Integrate AML modeling platforms into the FRAAML ecosystem
• Implement CI/CD practices across model and application ecosystems
• Review data science models, optimize code, containerize models, deploy versions, and monitor quality
• Develop tools for Data Science and ML Research including Model Monitoring and Governance
• Test data science models, automate validation tests, and document processe