Overview
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life.
Responsibilities
- Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science across the organization
- Leads team’s work in one or more of : ML, NLP, Statistics, or Optimization, performs hands-on work in these domains
- Weighs ROI considerations of general and tailored capabilities for projects in the team
- Creates new capabilities that solve critical business problems
- Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
- Influences business leaders to shape mission critical projects
- Creates multi-year vision that connects product strategy with technology strategy
- Drives architecture decisions, influences and contributes to ML platform architecture and strategy
- Leads team and partners to the successful delivery and integration of ML solutions
- Conducts design reviews, holds teams to technical and operational rigor
- Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community
Qualifications
PhD / MS in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related fieldSolid knowledge of statistical techniques3+ years as either a lead in a AI science role or in a management position in AI scienceStrong communication skills and proven experience as an influencer at the executive levelHands-on programming experience and expert knowledge in one or more of : ML, NLP, Statistics, or Optimization6+ years’ experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)6+ years’ experience with a general-purpose programming language (e.g. Python, Scala, etc.)Expert knowledge and hands-on experience with ML pipelines, processes, and design patternsProven track record of influencing business leaders to shape mission critical projectsProven track record of leading team to successful delivery of ML solutionsStrong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnelSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
Engineering and Information TechnologyIndustries
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This description reflects responsibilities and qualifications for the role and does not include external job postings or location-specific listings.
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