AI Engineering Director for Generative Solutions
2 days ago
S&P Global is a leader in automation and AI/ML to transform risk management. We are seeking an experienced Director of Machine Learning & MLOps Engineering to lead the development and deployment of production-grade generative AI solutions.
About the RoleAs an AI Engineering Director, you will be responsible for architecting, building, and deploying scalable GenAI services and solutions. You will work closely with cross-functional teams to integrate machine learning models into production systems and collaborate with members of technology teams in the development and implementation of Enterprise AI platform.
This role requires experience with large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services, and more. You should also have expertise in MLOps/LLMOps platform development, automated pipelines, and model governance, cost, and performance optimization.
Key Responsibilities- Lead the engineering activities for building production-grade generative AI solutions
- Implement machine learning engineering operations to ensure seamless deployment, monitoring, and management of ML models and data pipelines
- Work closely with AI ML team to develop and deploy scalable GenAI services and solutions
- Collaborate with cross-functional teams to integrate ML models into production systems
- Develop and implement Enterprise AI platform
To be successful in this role, you should have:
- A Bachelor's degree in Computer Science, Engineering, or a related field
- 8+ years of progressive experience in machine learning, data analytics, or similar roles
- Experience with Python (or Scala) programming languages
- Knowledge of MLOps/LLMOps, Big Data, Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow, and RAG pipelines
- 2-3 years of experience with operationalizing data-driven pipelines for large-scale batch and stream processing analytics solutions
- Experience with contributing to open-source initiatives or research projects, and/or participation in Kaggle competitions
- 6-12 months of experience working with prompt engineering and/or Generative AI use cases
We offer a competitive salary range of $180,000 - $250,000 per year, based on individual qualifications and experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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