Jubil ID: 45

Company: S&P Global

Location: Eastover, SC

Description:
About the Role: As an MLOps Architect
you will design and implement robust MLOps architectures to support the deployment and management of machine learning models at scale. You will work with cross-functional teams to ensure that Client models are integrated seamlessly into production environments.Key Responsibilities:• Design and implement end-to-end MLOps architectures
including data pipeli

Qualifications:
Bachelor's or Master's degree in Computer Science
Data Science
or a related field 5+ years of experience in machine learning operations
software engineering
or a related role Proven experience in designing and implementing MLOps architectures Proficiency in Python and experience with Client frameworks such as TensorFlow
PyTorch
or Scikit-learn Strong knowledge of CI/CD tools and practices Experience with cloud platforms

Responsibilities:
About the Role: As an MLOps Architect
you will design and implement robust MLOps architectures to support the deployment and management of machine learning models at scale You will work with cross-functional teams to ensure that Client models are integrated seamlessly into production environments Design and implement end-to-end MLOps architectures
including data pipelines
model training
deployment
and monitoring Develop and enforce best practices for MLOps
including CI/CD
version control
and automated testing Collaborate with data scientists
Client engineers
and IT teams to understand requirements and deliver scalable solutions Evaluate and integrate MLOps tools and platforms to enhance the Client lifecycle Ensure compliance with data governance
security
and regulatory requirements Provide technical leadership and mentorship to junior team members