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Senior ML generalist at a known firm with popular skills and metro hiring yields moderate competition.
Requires manufacturing, HSE, supply chain and finance domain expertise, limiting cross-industry transferability.
Multiple mandatory domain, platform, and deployment requirements imply strict candidate filtering.
Develop and validate complex algorithms using advanced statistical and predictive modeling techniques to solve business problems.
Collaborate with domain experts and solution architects to ensure appropriate data flows, rapid prototyping, and effective analytical product design.
Lead and mentor less experienced team members while communicating methodologies and results clearly to stakeholders.
Proficiency with analytics platforms such as Databricks, Palantir, Snowflake.
Experience in developing and deploying enterprise-wide AI/ML/gen-AI digital solutions including all phases from requirements gathering to AI/ML operations.
Domain expertise in Manufacturing operations, HSE, Supply chain, and Finance is required.
Work Experience Required: Intermediate experience with analyzing complex business systems and large data sets; specific years not mentioned.
Technical expertise with big data technologies, cluster computing, cloud platforms (Azure or AWS), and SQL.
Experience implementing big data platform solutions, Agile software development, and CI/CD pipelines preferred.
Operational focus on end-to-end AI/ML solution lifecycle management and capability to lead cross-functional collaboration.