5+ yrsMumbaiOn-siteDirect career pageEst. 22–40 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development of AI/ML solutions focused on Quality Control Management Systems, food safety, and manufacturing analytics to reduce defects, risks, and losses while improving operational efficiency.
- Design, build, deploy, and continuously improve predictive maintenance, process optimization, and quality intelligence analytics using cloud platforms like Azure/AWS and Databricks.
- Collaborate cross-functionally to integrate and govern data from multiple enterprise systems creating scalable data products, dashboards, and self-service analytics for diverse stakeholders.
Minimum Requirements
- 5-8+ years experience in quality, food safety, manufacturing, or supply chain analytics/data science within an operational or FMCG environment.
- Hands-on expertise with Databricks, strong cloud experience (Azure and/or AWS), and advanced Python skills including ML libraries such as TensorFlow or PyTorch.
- Strong SQL, PySpark skills, experience with data engineering and governance, and building scalable data-pipelines on cloud platforms.
- Bachelor's degree in relevant fields like Data Science, Computer Science, Engineering, or Statistics; Master's degree preferred; explicit certifications listed (e.g., Databricks, Azure/AWS ML).
Ideal Candidate Profile
- Experienced in industrial-scale data science with deep domain knowledge in quality control, food safety, and manufacturing operations analytics.
- Proficient in cloud-based end-to-end data science architectures incorporating ingestion, modeling, deployment, and MLOps for enterprise-grade solutions.
- Comfortable bridging technical data science work with stakeholder communication ranging from plant-floor teams to senior leadership with measurable impact orientation.