Machine Learning Engineer - Data Science Innovation (DSI) at PNC

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, MLOps, APIs, React, TypeScript, JavaScript, HTML5, CSS3, REST APIs, GraphQL, CI/CD, Docker, Cloud Platforms, Flask, FastAPI

Industry

Financial Services

Description

Position Overview 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 Machine Learning Engineer within PNC's Data Science Innovation (DSI) organization, you will be based in Pittsburgh, PA. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion. We are looking for a versatile and product-oriented Machine Learning Engineer with strong front-end development skills to join our team. You will bridge the gap between cutting-edge ML models and intuitive user interfaces — helping us build intelligent, responsive, and scalable applications. You will work closely with data scientists, backend engineers, and product teams to bring ML-powered features to life. Key Responsibilities: Machine Learning Engineering: • Build, train, evaluate, and optimize machine learning models (e.g., classification, regression, NLP, recommendation). • Implement pipelines for model deployment, monitoring, and retraining using MLOps best practices. • Collaborate with data scientists to translate prototypes into production-ready code. • Design scalable APIs and services to serve ML predictions to front-end components. Front-End Development: • Build and maintain modern, responsive, and accessible front-end interfaces using React (or equivalent framework). • Integrate ML models and APIs into seamless user experiences. • Optimize UI performance and ensure smooth, data-driven interactions. • Translate business needs and wireframes into functional, elegant front-end features. Required Qualifications: • 3–6 years of experience in software engineering or ML engineering roles. • Proficiency in Python for ML development (e.g., scikit-learn, TensorFlow, PyTorch). • Solid understanding of ML model lifecycles, versioning, and monitoring (e.g., MLflow, Weights & Biases). • Proficient in front-end technologies: React.js, TypeScript/JavaScript, HTML5, CSS3. • Experience with REST APIs or GraphQL and integrating with back-end services. • Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS, GCP, or Azure). Preferred Qualifications: • Experience deploying ML models using Flask, FastAPI, or similar frameworks. • Experience with front-end design systems or component libraries (e.g., Angular UI, Tailwind CSS). • Exposure to full-stack development or back-end technologies – Javascript. •Knowledge of user-centric design and data privacy principles. Soft Skills: • Strong product mindset and ability to think end-to-end. • Excellent collaboration skills — able to work across ML, engineering, and design. • Agile and iterative development approach. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. 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 Leverages analytical tools to provide business and technical expertise for the analytics process, tools and applications for a business function or business unit to create data driven solutions. Recommending appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics. Analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data-driven solutions. Providing business clients with detailed, actionable reports documenting the findings from, data processing, and data analysis. Consulting on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts. 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. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic Planning Competencies Analytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective Communications Work Experience Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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. In addition, PNC generally provides the following paid time off, depending on your eligibility: 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. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. 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 Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Responsibilities

The Machine Learning Engineer will build, train, evaluate, and optimize machine learning models while implementing pipelines for model deployment and monitoring. They will also collaborate with data scientists and engineers to integrate ML models into user-friendly applications.