Associate Director of Generative AI Platform Engineering
2 days ago
We are seeking an experienced Associate Director of Generative AI Platform Engineering to join our ML team within the Data Science COE at S&P Global. The ideal candidate will have a strong background in platform development and deployment at the scale of large enterprises, with expertise in distributed systems, system architecture, and cloud platform engineering.
Responsibilities and Impact- Lead the design, development, and deployment of a generative AI platform, ensuring optimal integration with enterprise systems and standards.
- Act as a hands-on developer and architect, creating a robust and scalable solution tailored to support AI-driven applications.
- Demonstrate technical leadership and hands-on expertise in generative AI technologies and cloud architecture.
- Responsible for the full stack development of the platform for AI products, including custom architecture for batch and stream processing-based AI ML pipelines.
- Ensure the deployment and management of scalable and reliable platform and application infrastructure for AI, ML, GenAI, LLM products.
- Lead the development, integration, and testing of scalable APIs.
- Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health.
- Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
- Implement security measures and compliance standards of the platform and APIs to ensure adherence to industry regulations.
- Mentor technical engineering talent and provide guidance and mentorship to junior engineers.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of hands-on cloud platform engineering experience, preferably with AI/ML development experience.
- Strong distributed systems skills and knowledge, strong system architecture skills.
- Significant hands-on development experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions.
- Experience with MLOps tools/frameworks, such as MLflow or similar.
- Strong knowledge and deep experience of Python, proficiency in multiple programming languages and frameworks relevant to cloud development.
- Experience and knowledge of foundational Generative AI principles, such as prompt engineering, RAG, finetuning, etc.
We offer a competitive salary range of $125,000 to $220,000, depending on experience and qualifications. Additionally, we provide a comprehensive benefits package, including health and wellness benefits, flexible downtime, continuous learning opportunities, and a secure retirement plan.
About S&P GlobalS&P Global is a leading provider of credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. We help companies, governments, and individuals make informed decisions about the road ahead.
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