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Strong Tier-1 brand, popular ML engineer role, and broad, generalist ML requirements increase candidate competition.
Senior ML engineering role demands specialized ML research and production experience, limiting easy cross-industry fit.
Explicit 7–10 years and advanced ML research/production requirements create stringent shortlisting filters.
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Lead advanced machine learning projects focused on decision automation and pattern recognition.
Design machine learning prototypes and oversee implementation of end-to-end solutions, including optimization and live deployments.
Conduct research to inform product development, author technical documentation, and mentor junior engineers.
7-10 years of relevant work experience in machine learning or related field.
Bachelor's Degree preferred; combination of coursework and experience may be considered.
Ability to work nights and weekends with variable schedules as necessary.
Experience with designing, deploying, and managing sophisticated machine learning solutions and technical leadership.
Expertise in leading full lifecycle machine learning projects including research, prototyping, deployment, and optimization.
Experience collaborating cross-functionally with product teams and external partners to deliver innovative ML solutions.
Strong technical judgment and a track record of authoring technical documentation and mentoring engineers at senior levels.