We live in a moment of remarkable change and opportunity that is enabled by artificial intelligence. The convergence of data and machine learning is transforming industries, society, and the workplace. CognitiveScale is looking for talent to drive market success by applying artificial intelligence to help our clients transform customer engagement and optimize core business processes.
Our team integrates AI (machine learning and natural language processing) expertise with our cognitive business process platform to deliver innovative AI solutions in multiple industries. We are looking for a highly ambitious, data obsessed leader of our machine learning and data science team. This leader will have a deep technical understanding of data science tools and concepts, have hands-on experience applying machine learning to real-world problems, is obsessed with customer success, and knows how to inspire and lead data science teams.
- Effectively lead, motivate, and scale a highly talented machine learning team doing applied research and development
- Lead the development of AI accelerators and infrastructure requirements for our platform
- Align with peers in sales, marketing, customer success, and engineering teams to make sure our AI capabilities are delivered to the market in the most effective way
- Work with our customer success team to estimate the effort involved and skills needed from a machine learning perspective for a specific customer engagement
- Design and champion best practices and processes that drive organizational excellence
- Handle team coordination and management tasks such as project assignments, defining team member business objectives, operations, etc.
- 2+ years leading machine learning teams and managing projects
- 3+ years building machine learning models and/or applying data science to solve business problems
- You have real passion for the fields of machine learning, computer vision, and/or natural language processing and pursue continued education on the disciplines and tools in the market
- MS degree in Computer Science/Engineering (not a strict requirement)
- Experience with programming languages such as Python, R, Java, Scala
- Experience with open-source machine learning and math toolkits such as scikit-learn, PyTorch, Tensorflow, Caret
- Provide AI expertise for various practice groups; ability to collaborate with the R&D team to develop new algorithms that are not available in popular toolkits
- Strong verbal and written communication; position will involve some engagement with customer data science teams
- Strong organizational, multi-tasking and time management skills
- High-energy, detail-oriented, and proactive with the ability to function under pressure in an independent environment
- Strong ability to collaborate with a global development team
- Experience working with international customers