Senior MLOps Engineer

Key Skills

Aartificial intelligence, Apache Flink, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Databricks, Java Programming, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, MLflow, MLOps tools, NoSQL, Python Programming, SQL

Job Description

What’s in it for you:

In this role, you will play a pivotal role in implementing our machine learning operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines. You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams. You will contribute to engineering and developing solutions for ML operations and be a critical part of leading S&P’s AI-driven transformation to drive value internally and for our customers.

S&P is a leader in automation and AI/ML to transform risk management. This role is a unique opportunity for MLops / LLMops engineers to grow into the next step in their career journey.

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. 

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years experience (1+ years) in cloud engineering MLOps, machine learning engineering, Big Data, or a related role.
• Familiarity (ideally 1+ years experience) with containerization, scripting, cloud platforms, and CI/CD.
• 1+ years experience with Python, Java, Kubernetes, and data and workflow orchestration tools
• Familiar with Elasticsearch, SQL, NoSQL, Apache spark, Flink, Databricks and Mlflow, 
• 1+ 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

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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 to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.