Machine Learning Engineer
Description For Machine Learning Engineer
Prodigal, founded in 2018 by IITB Alumnus, is revolutionizing consumer finance intelligence by combining advanced generative AI with strategies to maximize payments and enhance consumer experience. They're seeking a curious and resilient Machine Learning Engineer who thrives on experimentation and rapid iteration.
The ideal candidate will apply AI concepts to solve business problems, work with complex datasets using SQL, and leverage statistical methods and machine learning algorithms for exploratory data analysis. They'll build and interpret models using tools like PySpark and ML-Flow, continuously evaluating and enhancing existing models.
Key technical skills include proficiency in Python and SQL, experience with data visualization, and the ability to deploy AI solutions in cloud environments. Soft skills emphasize a passion for experimentation, excellent communication, and the ability to thrive in ambiguity.
The role offers unique benefits such as working directly with GenAI, learning from a world-class team, continuous education opportunities, flexible scheduling, and a generous leave policy. Prodigal provides a stimulating environment for those with an entrepreneurial spirit, pushing for growth and innovation in one of the biggest industries in the US.
Join Prodigal to be part of a team reshaping the consumer finance industry, one conversation at a time.
Responsibilities For Machine Learning Engineer
- Apply AI concepts to solve business problems, with a focus on rapid prototyping and iterative improvement
- Leverage SQL and data manipulation tools to work with complex datasets, exploring unconventional approaches
- Apply statistical methods, machine learning algorithms, and data visualization techniques to perform exploratory data analysis
- Build and interpret models using tools like PySpark and ML-Flow, constantly testing new approaches and parameters
- Write clean, well-documented code that facilitates collaboration and faster iteration
- Continuously evaluate and enhance existing models, viewing each iteration as an opportunity to learn and improve
Requirements For Machine Learning Engineer
- Proficiency in rapidly prototyping and testing ideas using large, complex datasets and SQL
- Expertise in implementing and iterating on machine learning models and algorithms
- Strong programming skills in Python and/or SQL
- Experience in leveraging data visualization techniques
- Ability to swiftly deploy and iterate on AI solutions in cloud environments
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Minimum of 2 years of hands-on experience in data analysis, modeling, and AI solutions development
Benefits For Machine Learning Engineer
- GenAI experience - Work directly in the innovative field of GenAI
- World-class team - Learn from and teach bright and skilled professionals
- Continuous education - Sponsored training materials, books, courses, and exam fees for upskilling
- Food at the office - Meals provided
- Health insurance - Coverage for you and your family
- Flexible schedule - Create your own work schedule
- Generous leave policy - No cap on vacation time
- Recreation & team activities - Regular team-building activities
