Machine Learning Engineer
PNC
- Pittsburgh, Pennsylvania, United States
- Pittsburgh, Pennsylvania, United States
Über
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: , 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.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.
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 PlanningCompetencies Analytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective CommunicationsWork 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 BachelorsCertifications 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 SavingsSprachkenntnisse
- English
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