Associate Director - Machine Learning Engineer - Mobility position at S&P Global.| India

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S&P Global Associate Director - Machine Learning Engineer - Mobility

Experience: 12-years

Pattern: full-time

Country:

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Associate

Bengaluru, Kar..........India

About the Role: Grade Level (for internal use): 12 S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company. For more information, visit www.spglobal.com/mobility . The Role: Associate Director — Machine Learning Engineer The Team The Procurement IQ team is pioneering AI-powered supply chain intelligence solutions within S&P Global Mobility’s Supply Chain and Technology organization. The team operates in a collaborative, innovation-driven environment that values technical excellence, continuous learning, and cross-functional partnership. As part of a globally distributed organization, you will work closely with data scientists, product managers, and domain experts to deliver solutions that help automotive manufacturers better understand and manage their supply chains. The team embraces modern DevOps practices, cloud-native architectures, and a culture of ownership where engineers are empowered to influence both technical and product decisions. 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. What We’re Looking For Basic Required Qualifications Education & Experience 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. Technical Skills 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). Soft Skills 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. Preferred Qualifications 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. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . What’s In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: 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. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:  EEO.Compliance@spglobal.com  and your request will be forwarded to the appropriate person.  US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.2 - Middle Professional Tier II (EEO Job Group)

Associate Director - Machine Learning Engineer - Mobility job opportunity at S&P Global.

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