GenAI Enterprise Leader
3 weeks ago
About S&P Global
S&P Global is a world-leading provider of credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. Our Essential Intelligence helps organizations navigate the economic landscape to plan for tomorrow, today.
About the Job
This role is part of our Data Science COE, which delivers AI capabilities and advancements to our S&P Global Ratings products and services. As a key member of this team, you will be responsible for developing and implementing AI architecture strategies, best practices, and standards to enhance AI model deployment and monitoring efficiency.
Key Responsibilities
* Develop and implement AI architecture strategies, best practices, and standards to enhance AI model deployment and monitoring efficiency.
* Design and develop custom AI architecture for batch and stream processing-based AI ML pipelines, including data ingestion to preprocessing to scaled AI model compute, ensuring the architecture meets all SLA requirements.
* Collaborate with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
* Work closely with business and PM stakeholders in roadmap planning and implementation efforts, ensuring technical milestones align with business requirements.
Benefits
* Estimated salary range: $150,000 - $230,000 per year, based on geographical location and experience.
* Comprehensive benefits package, including health and wellness programs, flexible downtime, continuous learning opportunities, and financial wellness programs.
Requirements
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 8+ years of experience as a ML engineer, architect, or lead data scientist in Big Data ecosystems or similar distributed or public cloud platforms.
* 4+ years of hands-on experience in ML architecture design and implementation for large-scale enterprise AI solutions and AI products.
* Experience working in Agile frameworks and delivery methods (scaled Agile, SAFe, etc.).
* Expertise in the design and development of complex data-driven architectures for distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling.
* Experience with public cloud platform & system architectures (AWS, GCP, Azure).
* Proficiency with Databricks, MLflow, Flink, or similar AI/ML/ML technologies.
Apply Now
Don't miss this opportunity to join our team of innovative professionals If you are a motivated and experienced professional looking to make a meaningful impact, please submit your application.
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