Machine Learning Engineer Salary in Acme, Pennsylvania

Job Title: MLOps/ DevOps Architect Location: Pittsburg, PA & Dallas, TX Full Time/ Permanent Contact: Syed.Khaliq@Synechron.com The Role Responsibilities: Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS) Build MLOps pipelines orchestration on Amazon SageMaker Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Design, develop, integrate, and deploy tools for Data Science and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others. Data science models testing, validation and tests automation Communicate with a team of data scientists, data engineers and architect, document the processes Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings. Requirements: You are: 12+ years of experience in automating infrastructure s

Job Title: MlOps/DevOps Architect Job Location: Pittsburg, PA, Dallas, TX The Role Responsibilities: Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS) Build MLOps pipelines orchestration on Amazon SageMaker Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Design, develop, integrate, and deploy tools for Data Science and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others. Data science models testing, validation and tests automation Communicate with a team of data scientists, data engineers and architect, document the processes Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings. You are: 12+ years of experience in automating infrastructure setup and application deployment At least 5+ years of setting up and

Job Title: MLOps/ DevOps Architect Location: Pittsburg, PA & Dallas, TX Full Time/ Permanent Contact: Syed.Khaliq@Synechron.com The Role Responsibilities: Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS) Build MLOps pipelines orchestration on Amazon SageMaker Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Design, develop, integrate, and deploy tools for Data Science and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others. Data science models testing, validation and tests automation Communicate with a team of data scientists, data engineers and architect, document the processes Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings. Requirements: You are: 12+ years of experience in automating infrastructure s

Job Title: ML OPS Engineer Job Location: Hybrid (Pittsburgh, PA / Cleveland OH) Job Type: Full Time Qualifications Bachelor’s degree in Computer Science or Software Engineering Having 7 years in Software Engineering Hands-on experience working with at least one cloud (AWS) Ability to build MLOps pipelines on AWS Sage Maker. Hands-on DevOps experience – CI/CD in Jenkins, Bitbucket, Kubernetes, and OpenShift. Good to have in-depth knowledge of machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc Ability to understand tools used by data scientists and experience with software development and test automation Experience with Agile development and delivery – Scrum, Lean, XP, Kanban methodologies. Proficiency in modern programming languages such as Python. AWS Machine Learning certification is a huge plus

Summary of the role: In this role you will help to develop, build, design, continuously improve, and support the MLOps Platform at PNC. You will participate in all stages of development, use various software and tools, and enabling self-service tools for data science teams. The role also involves designing, developing, integrating, and deploying tools for Data Science and Machine Learning (ML) Research. The successful applicant will design and operate a framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with cloud architectural principles. About the role: Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS) Build MLOps pipelines orchestration on Amazon SageMaker Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Design, develop, integrate, and deploy tools for Data Science and ML

Summary of the role: In this role you will help to develop, build, design, continuously improve, and support the MLOps Platform at PNC. You will participate in all stages of development, use various software and tools, and enabling self-service tools for data science teams. The role also involves designing, developing, integrating, and deploying tools for Data Science and Machine Learning (ML) Research. The successful applicant will design and operate a framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with cloud architectural principles. About the role: Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS) Build MLOps pipelines orchestration on Amazon SageMaker Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Design, develop, integrate, and deploy tools for Data Science and ML