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Medium competition: popular data-science role in a metro, but specialized LLM/RAG skills and onsite reduce applicant density.
Medium—ML skills transfer across industries, but supply-chain and enterprise integration needs increase domain specificity.
High due to senior title and many mandatory ML/LLM, RAG, deployment, governance, and integration skill requirements.
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Develop and deploy scalable AI and ML solutions to address supply chain, procurement, and planning challenges using Python, APIs, and modern AI frameworks.
Build agent-based workflows and automate operational decision-making processes to enhance efficiency and scalability.
Implement Retrieval-Augmented Generation (RAG) and knowledge graph solutions while ensuring compliance with enterprise governance, security, and responsible AI practices.
Work Experience Required: Not explicitly mentioned in the JD but role implies senior-level AI solution development experience.
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related quantitative field.
Must be willing to work onsite 5 days a week; relocation available; no visa sponsorship offered.
Hands-on experience with Python programming, AI/ML solution development including LLMs, RAG, embeddings, vector databases, and AI governance practices.
Experienced in building AI-powered internal tools or full-stack applications with modern web frameworks and containerization.
Familiar with enterprise system integration, especially in supply chain, procurement, manufacturing, or enterprise operations analytics domain.
Proven ability to translate complex business problems into scalable AI prototypes and solutions, collaborating closely with business stakeholders and digital teams.