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Tier-1 employer, mid-level management band, and Bengaluru metro increase applicant density.
Role requires specialized multimodal generative AI research skills and publications, making cross-industry transfer limited.
Explicit 3–5 years ML management, production model shipping, and strong ML research requirements raise strictness.
Own end-to-end delivery of machine learning projects focusing on Agentic and Generative AI for Adobe Express across multi-modal AI domains.
Lead and grow an India-based ML engineering team (5-6 members), driving technical direction, hiring, mentoring, and establishing a culture of experimentation and high performance.
Collaborate cross-functionally with engineering, product management, and Adobe Research to integrate and operationalize innovative AI capabilities and define evaluation strategies using metrics and user feedback.
3-5 years of management experience in ML Engineering or Applied Science with proven delivery of complex projects and end-to-end team execution.
Experience shipping production-scale ML models and deep knowledge of current ML literature in multi-modal reasoning to guide technical decisions and quality standards.
Strong structured communication skills for cross-team influence and ability to navigate ambiguity with fast decision-making and adaptable planning.
Work Experience Required: 3-5 years ML Engineering/Applied Science management experience. Educational qualification: Not explicitly mentioned in the JD for minimum requirement.
Experienced leader with a strong background in managing small, focused ML engineering teams working on applied research projects involving generative and multi-modal AI.
Ability to balance technical depth in recent AI research with product impact and engineering excellence in a fast-paced, evolving environment.
Demonstrated success mentoring engineers for career growth and setting technical direction in cross-functional settings involving research-to-production pipelines.