Machine Learning Specialist for Poverty Research
1 day ago
We are seeking a talented Machine Learning Specialist to join our research team at the NYU McSilver Institute for Poverty Policy and Research. The successful candidate will be responsible for developing and deploying machine learning models that address poverty and related challenges.
This is an excellent opportunity to contribute to cutting-edge research and development of innovative solutions that drive social impact. The ideal candidate will have a strong background in machine learning, statistics, and software engineering, with a proven track record of delivering high-quality results.
The Machine Learning Specialist will work closely with our research team to develop and refine ML models, as well as ensure their deployment and maintenance. This includes collaborating with the development team to integrate ML models into existing systems and ensuring comprehensive model risk management.
Key Responsibilities:
- Develop and deploy machine learning models on cloud infrastructure (AWS)
- Collaborate with the research team to translate business requirements into technical specifications
- Refine and optimize ML models to improve performance and accuracy
Required Qualifications:
- Masters degree or equivalent experience in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or Mathematics
- 3+ years of professional experience in Machine Learning and/or Engineering providing strong ML support
- Strong programming skills in Python
Estimated Salary: $90,000 - $100,000 per year, depending on qualifications and experience.
This position is full-time and includes a generous benefits package. The NYU McSilver Institute is committed to diversity, equity, and inclusion in the workplace.
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