7+ years of experience in machine learning, AI, data science, or related fields, with at least 3 years in a technical leadership role
Proven track record of translating research or advanced concepts into deployed, real-world systems
Strong working knowledge of modern AI approaches, including large language models (LLMs), agent-based systems, and/or multimodal AI
Experience working cross-functionally with engineering and product teams to deliver scalable solutions
Education
Master's or PhD in Computer Science, Machine Learning, or a related field
Additional Experience & Evaluation Criteria
Demonstrated research capability through one or more of the following: published or co-authored research papers (academic or industry), contributions to open-source AI/ML projects, patents, technical white papers, or significant internal research initiatives, graduate-level thesis or dissertation in a relevant field
Ability to clearly communicate complex technical concepts, including: explaining prior research or projects and their real-world application, articulating trade-offs between different AI approaches
Experience managing R&D budgets, timelines, and teams in a scaling or high-growth environment is an added advantage
GK
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