Machine Learning Engineer - APAC
LexisNexis (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–32 LPA
Posted on 29 Aug
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Job description
Structured overview of role & requirements
About This Role
- Develop and productionize machine learning models using SQL, Python, and Databricks to deliver predictive analytics for APAC business stakeholders.
- Design and implement autonomous, adaptive Agentic workflows and automate data pipelines and model deployment leveraging Microsoft Fabric and Databricks.
- Responsible for statistical model evaluation, experimentation frameworks, feature engineering, and clear reporting of methodology and business impact to technical and non-technical audiences.
Minimum Requirements
- Bachelor's degree required; Master's degree preferred in Data Science, Statistics, Computer Science, or related field.
- 5+ years of experience in data science or machine learning roles with end-to-end delivery from development through production.
- Proficiency with Databricks, Microsoft Fabric, SQL, Python, and experience maintaining core data platforms and supporting platform engineering.
- Must demonstrate ability in technical interviews to discuss SQL, Python, data modelling, statistical foundations, and ML algorithms.
Ideal Candidate Profile
- Experienced in building scalable, reliable ML solutions in a multi-regional business context with strong cross-functional collaboration skills.
- Comfortable applying classical and modern statistical techniques, experimental design, and model evaluation metrics to optimize predictive models.
- Familiar with advanced topics such as NLP, generative AI, workflow automation, MLflow, and Power BI to enhance end-to-end data platform capabilities.