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Metro hiring, senior ML title, and known employer increase competition despite Generative AI specialization.
Role demands specialized GenAI model-building and deployment skills, limiting easy cross-industry transfers.
Multiple mandatory GenAI, Langchain, cloud and deployment skills imply strict technical filtering.
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Lead design, development, and deployment of generative AI and machine learning models using cloud platforms (AWS, GCP, Azure).
Analyze complex data sets to generate strategic insights and improve reporting and analysis practices.
Collaborate cross-functionally to integrate Generative AI into products or services, ensuring ethical and effective AI usage.
Proficient in Python, SQL, and AI frameworks including Langchain; experience with Dataiku and deploying models on AWS, GCP, or Azure.
Experience designing and implementing generative AI models such as GANs, VAEs, transformers; knowledge of evaluation metrics specific to generative AI.
Mandatory educational qualification: Bachelor’s or Master's in Business Analytics, Computer Science, Statistics, or Data Science.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end AI/ML project execution with cloud deployment and strong understanding of generative AI techniques and tools.
Able to translate complex business requirements into actionable AI-driven solutions and enhancements for reporting and analytics.
Comfortable working independently and making strategic decisions aligned with AI solution implementation and scaling.