Machine Learning Engineer - APAC
RELX (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 22–38 LPA
Posted on 29 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and productionization of machine learning models focused on predictive analytics using SQL, Python, Databricks, and Microsoft Fabric.
- Own end-to-end ML workflows including data processing at scale, feature engineering, model evaluation, and deployment with emphasis on performance, interpretability, and reliability.
- Develop and implement autonomous workflows via Agentic development principles and optimize automation pipelines to enable scalable, adaptive business solutions in the APAC region.
Minimum Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; Master's preferred.
- 5+ years of professional experience in data and machine learning roles with full lifecycle project delivery.
- Proficiency in ML model development and deployment tools including Databricks and Microsoft Fabric; advanced skills in SQL and Python mandatory.
- Must demonstrate ability to discuss technical topics like data modeling, ML algorithms, and statistical foundations in interviews.
Ideal Candidate Profile
- Experienced in building and operationalizing ML models for real-world business applications with measurable impact in an enterprise environment.
- Technical fluency across data platforms and ML lifecycle tools, with a strategic focus on automating workflows and implementing Agentic AI systems.
- Capable of cross-functional collaboration across regions and mentoring junior team members, facilitating knowledge sharing and scalable ML solutions.