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Tier-1 brand, mid-level ML title, metro location, and broad required skills increase applicant competition.
Technical ML and platform expertise transfers across industries, though domain-specific legal analytics knowledge increases sensitivity moderately.
Mandatory 5+ years, specific ML/platform skills and technical interview requirements make shortlisting highly stringent.
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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.
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.
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.