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Key job responsibilities
We're seeking an experienced Applied Science Manager to guide our team in creating practical AI solutions for real-world problems. In this role, you will:• Oversee the development of AI applications that meet business needs
• Ensure our team stays current with advancements in machine learning and data science
• Balance theoretical knowledge with practical implementation
• Mentor team members and foster a collaborative work environment
• Work closely with customers and partners to understand their requirementsYou should have a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. We value your expertise in bridging the gap between research and application.A day in the life
Your daily work will be diverse and dynamic. You'll collaborate with scientists and ML engineers, reviewing data processing approaches and machine learning models. You'll plan and oversee large-scale experiments, balancing immediate project needs with long-term scientific initiatives.Typical tasks include solving complex data science problems, developing ML/AI solutions for automation and insights, and interacting with internal partners. You'll stay connected to production environments to ensure customer needs are met.Mentoring team members and leading educational sessions on AI/ML best practices will be part of your role. This position requires adaptability, as you'll switch between technical work, strategic planning, and people management throughout your day.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 3+ years of scientists or machine learning engineers management experience
- Experience in applied research
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