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Remote role, strong VC-backed brand, and a popular senior ML/AI title increase applicant density.
Core ML/AI skills transfer across industries, but CX agentic and client-delivery experience raise domain specificity.
Hands-on ML/AI, LLM and production delivery skills are required despite no explicit years specification.
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Design, prototype, and deliver AI-powered agentic solutions to solve complex business problems for internal and client-facing use cases.
Collaborate with product, engineering, and delivery teams to create scalable AI solution designs and deploy production-ready implementations.
Evaluate AI model performance and business impact using data-driven methods while communicating insights clearly to both technical and non-technical stakeholders.
Strong experience in data science, machine learning, analytics, or applied AI.
Hands-on experience with Python, SQL, data analysis, and model development workflows.
Familiarity with generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
Experience working on client-facing, delivery-focused, or product-oriented technical initiatives. Work Experience Required: Not explicitly mentioned in the JD.
Technically deep candidate with hands-on expertise in advanced analytics, ML, and generative AI applied to real-world use cases.
Skilled at bridging ambiguous problem statements to practical, scalable AI solutions involving cross-functional stakeholder collaboration.
Experienced in delivery of AI models and solutions that create measurable business impact, comfortable communicating complex ideas to diverse audiences.