The Role: Lead, MLOps Engineer

Responsibilities

• ML Model Deployment: Assist in deploying machine learning models into production environments.
• AI ML pipeline and model Monitoring: Contribute to the monitoring and maintenance of model performance and infrastructure health.
• Automation: Participate in the development and maintenance of automated MLOps pipelines.
• Collaboration: Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Documentation: Maintain documentation of MLOps processes and procedures.
• Work closely with members of technology teams in the development, and implementation of Enterprise AI platform.
• Problem Solving: Assist in troubleshooting and resolving MLOps-related issues.
  
  

Compensation/Benefits Information (US Applicants Only)

S&P Global states that the anticipated base salary range for this position is $120,000 - $200,000. Final base salary for this role will be based on the individuals geographical location as well as experience and qualifications for the role.

In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here(link removed)>
What Were Looking For

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Few years of experience (2+ years) in MLOps, machine learning engineering, Big Data, or a related role.
• Familiarity (ideally 1-2+ years of experience) with containerization, scripting, cloud platforms, and CI/CD.
• -3 years of experience with Python, Java, Kubernetes, and data and workflow orchestration tools
• 1+ years of experience with Elasticsearch, SQL, NoSQL, Apache spark, Flink, Databricks and Mlflow,
• Prior 1-3 experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions
• Plus: Experience with contributing to github and open-source initiatives or in research projects and/or participation in Kaggle competitions
  
  

This role is limited to persons with indefinite right to work in the United States.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email (link removed)pliance@spglobal.comand your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster (link removed) discrimination protections under federal law.

IFTECH202.2 - Middle Professional Tier II (EEO Job Group)

Job ID: 293553

Posted On: 2023-12-20

Location: Toronto, Ontario, Canada