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Associate Director - Machine Learning Engineer - Mobility

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: S&P Global
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Bengaluru

This job is with S&P Global, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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    .

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 Dev Ops 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 product ionize 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…
Position Requirements
10+ Years work experience
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