Proven experience delivering Machine Learning and Deep Learning solutions end‑to‑end, from data exploration through deployment and monitoring.Strong applied knowledge of ML, DL, GenAI, and Agentic approaches, including understanding of underlying mathematical foundations.Strong experience with EDA, feature engineering, offline modeling, evaluation, and transforming messy data into clean, reusable features.Proven ability to communicate scientifically and present results to diverse technical and non‑technical stakeholders.Demonstrated ability to handle data responsibly, including data governance, privacy, and standards compliance.Experience building GenAI‑based solutions using LLMs/SLMs, RAG, Vector databases, and agentic frameworks.Strong hands‑on programming experience (e.g., Python) and strong SQL skills, with the ability to work across big‑data and cloud ecosystems.Curious, critical thinker with strong problem‑solving skills and a hands‑on execution mindset, comfortable working in ambiguous problem spaces.
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