MLOps Engineer Contract W2 PA usa
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
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, o