Lead MLOps Engineer

Key Skills

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

Job Description

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.

What We’re 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

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 individual’s 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.