DataScientist,Specialist

**Responsibilities:** **Solve Business Problems with AI** * **Partner with business stakeholders to identify, frame, and prioritize high‑value problems that can be addressed using Agentic AI, LLMs, and NLP.** * **Translate business needs into clear AI use cases, success metrics, and delivery plans.** * **Focus on business outcomes, not just model performance.** **Design & Build Agentic AI Solutions** * **Architect and develop agentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.** * **Design multi‑agent and tool‑augmented LLM solutions to automate complex, multi‑step processes.** * **Ensure solutions are reliable, explainable, and governed for enterprise use.** **Scalable & Responsible AI** * **Collaborate with engineering teams to deploy AI solutions with scalability, security, and performance in mind.** * **Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.** * **Align solutions with enterprise risk management, compliance, and responsible AI standards.** **Thought Leadership & Collaboration** * **Act as a trusted AI advisor, helping teams understand where Agentic AI and LLMs add value—and where they do not.** * **Contribute to AI best practices, reusable patterns, and strategic direction.** * **Mentor peers and teammates on applied AI and business‑driven problem solving.** **Qualifications:** * **Agentic AI: Experience designing AI agents that reason, plan, and act across systems.** * **Large Language Models (LLMs): Hands‑on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).** * **Natural Language Processing (NLP): Strong experience working with unstructured text and language‑driven workflows.** * **MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.** * **3 + years delivering AI/ML solutions in production environments.** * **5 + years of hands‑on Python exper