Job Responsibilities:
- Lead complex projects that require cross-organizational alignment and collaboration
- Analyze complex datasets used to make decisions regarding real-world applications
- Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
- Write software code that is built and deployed in production systems
- Anticipate and consider risks when building machine learning solutions and prediction/classification systems
- Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
- Work transparently cross-functionally and influence your peers to do the same.
Required qualifications, capabilities and skills:
- Master’s degree with 7 + years of experience of or Ph.D. in Computer Science or Machine Learning related degree with good internships and about 2 + years of work experience
- Expert in one or more of the following: machine learning, Graph learning, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps
- Comfortable conducting design and code reviews
- Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment
Preferred qualifications, capabilities and skills :
- A strong technical advocate with a background in Java or Scala, and Python.
- Comfortable working in a cloud environment like AWS/GCP or Azure
- Passionate about working with large unstructured and structured datasets