3 days ago
Pittsburgh, PA, USAEntry Level
Base Salary
$75k - $150k/yr
Responsibilities
- Develop, test, deploy, and support software solutions for machine learning production environments.
- Build and maintain large-scale data pipelines and processing frameworks.
- Optimize ML workflows for performance, scalability, and reliability.
- Troubleshoot and resolve production issues.
- Partner with data science, engineering, and platform teams to operationalize machine learning solutions.
- Create and maintain technical documentation.
- Participate in on-call support and production deployments.
Requirements
- Bachelor’s degree and 2+ years of relevant experience, or a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree.
- Strong Python development experience.
- Experience with Pandas, PySpark, PyArrow, and Hadoop.
- Experience building and supporting large-scale data processing solutions and data pipelines.
- Experience with MLOps and production support environments.
- Experience with performance tuning and optimization.
- Strong problem-solving and troubleshooting skills.
- Preferred experience with Kafka, Spark Streaming, or SLURM.
- Preferred experience with model lifecycle management.
- Preferred experience with cloud-based MLOps platforms, including AWS SageMaker.
- Experience in financial services or other highly regulated environments is preferred.
Benefits
- The role is based in Pittsburgh, PA or Cleveland, OH and is an in-office position.
- Benefits may include medical and prescription drug coverage, dental and vision options, life insurance, disability protection, 401(k) matching, pension, stock purchase plans, dependent care reimbursement, back-up child and elder care, adoption, surrogacy and doula reimbursement, educational assistance, and wellness programs.
- Paid time off may include parental leave, up to 11 paid holidays, 9 occasional absence days, and 15 to 25 vacation days depending on career level and years of service.
- Weekend on-call rotation is approximately once per month.
- Monthly production deployments may begin after 10:00 PM EST and extend through the weekend.
Tech Stack
Categories
Data EngineeringML Engineering
About PNC
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