MLOps Engineer Contract W2 PA

MLOps Engineer Contract W2 PA

MLOps Engineer Contract PNC Bank is seeking an Experienced MLops Engineer to support the design, deployment, and operationalization of machine learning models across the enterprise platforms

Location: PA

Work model: Hybrid ( Onsite + Remote )

Employment Type: Contact ( strictly W2 )

Client: PNC Bank

Job Overview

MLOps Engineer Contract PNC Bank is seeking an Experienced MLops Engineer to support the design, deployment, and operationalization of machine learning models across the enterprise platforms, This role focused on building Reliable, Scalable, and secure ML pipelines that bridges the gap between data science and production systems, The Ideal candidate will have strong experience in machine learning lifecycle management, cloud platforms, CI/CD automation and monitoring ML models in real world environments MLOps Engineer Contract

As an MLops Engineer, you will collaborate closely with data scientists, data engineers, software engineers, and business stakeholders to ensure machine learning models MLOps Engineer Contract

Key Responsibilities

• Design, Develop, and maintain end to end MLops pipelines to support model development, training, testing, deployment, and monitoring
• Automate ML frameworks using CI-CD tools to ensure smooth model releases and version control
• Partner with data scientists to translate experimental models into production ready solutions
• Implement model deployment strategies using containers, orchestration tools, and cloud native services
• Build monitoring frameworks to track model performance, data drift, concept drift
• Ensure Reliability, scalability and secure of ML systems in a regulated financial environment
• Maintain documentation for ML pipelines, deployment standards, and operational processes
• Support model retraining, rollback stargies, and production incident resolution
• Work with governance, risk, and compliance teams to align ML solutions
• Optimize infrastructure costs and performance while maintain high availability
• Contribute to best practices and standards for enterprise MLops within organization

Required skills and Qualification

• Bachelors or masters Degree in computer science data science related field
• 6+ years of experience in software engineering, data engineering, or ML engineering, with strong MLops
• Hands on experience with machine learning model deployment and lifecycle
• Strong programming skills in python, Java or Scala is plus
• Experience with ML frameworks such as TensorFlow, Py Torch
• Proficiency in CI-CD tools like, Jenkins, GITHUB, GitLab or similar
• Strong experience with containerization and orchestration tools such as Docker and Kubernetes
• Hands on experience with cloud platforms ( AWS, Azure, or GCP )

Preferred Qualification

• Experience working in banking, financial services, or other regulated industries
• Familiarity with model governance, auditability, and compliance frameworks
• Experience with real time or streaming ML systems
• Knowledge of data versioning and experiment tracking tools
• Exposure to Agile scrum development

Interested candidates can share their resume to sindhus@skilzmatrix.com

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