Hybrid Associate Director – Machine Learning Engineer

at S&P Global

• Job title: Associate Director – Machine Learning Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, ETL, SQL
• Location requirements: Hybrid, Bengaluru, India

About the role

• Associate Director leading machine learning engineering solutions for AI-powered supply chain at S&P Global Mobility. Collaborating with teams to deliver technical solutions and data processing workflows.

Responsibilities

• Design, develop, and deploy scalable machine learning pipelines and data processing workflows to support AI-powered supply chain intelligence solutions.
• Build and maintain robust ETL/ELT processes using cloud-native data services to ingest, transform, and manage large-scale datasets from diverse sources.
• Develop and optimize data models and schemas for relational data stores and graph-oriented data stores to enable efficient querying and analysis.
• Collaborate with AI/ML teams to implement and productionize machine learning models, ensuring seamless integration with data pipelines.
• Monitor and optimize the performance of data pipelines and ML workflows, applying best practices for data quality, reliability, observability, security, and scalability.
• Work closely with cross-functional teams in an Agile environment to deliver data solutions that drive business value and enhance product capabilities.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• 12 years of hands-on experience in data engineering, machine learning engineering, or related roles.
• Strong programming skills in a modern, general-purpose language commonly used for data and ML workloads.
• Experience with distributed data processing frameworks and in-memory data analysis libraries.
• Hands-on experience with cloud platforms and their data services, including data lakes, data warehouses, and managed database services.
• Experience with ETL/ELT development and workflow orchestration platforms for scheduling, dependency management, retries, and monitoring.
• Proficiency in SQL and experience working with relational databases and non-relational databases (e.g., document, key-value, wide-column).
• Strong problem-solving abilities with attention to detail and data quality.
• Excellent communication and collaboration skills to work effectively in cross-functional Agile teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Experience with machine learning frameworks and practical understanding of MLOps practices, such as model versioning, reproducible training, automated evaluation, and controlled deployment/rollback.
• Familiarity with graph data stores and knowledge graph concepts (entities, relationships, ontologies, lineage).
• Experience with containerization technologies and container orchestration platforms for deploying and scaling services and pipelines.
• Knowledge of Infrastructure as Code approaches and CI/CD pipelines to automate testing, security checks, and deployments across environments.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.