Machine Learning Engineer

Overview

Company name: Prodigal | HQ Location: Mountain View, California | Website | LinkedIn

Role: Machine Learning Engineer

• Salary: Rs 40-50 lakhs per year
• Experience: 2-4 years
• Location: Mumbai (Thane)
• Type: Full-time

We're looking for a curious and resilient Machine Learning Engineer who thrives in a culture of experimentation and rapid iteration. Our ideal candidate doesn't just apply AI concepts – they're excited to push boundaries, challenge assumptions, and learn from both successes and failures. If you believe that the only true failure is not experimenting quickly, we want you on our team.

Key Responsibilities

1. Embrace a "fail fast, learn faster" mentality, aiming for a 20-30% success rate in your ideas and experiments. Continuously optimize our experimentation process, making it faster, more efficient, and more insightful
2. Apply AI concepts to solve business problems, with a focus on rapid prototyping and iterative improvement
3. Leverage SQL and data manipulation tools to work with complex datasets, exploring unconventional approaches
4. Apply statistical methods, machine learning algorithms, and data visualization techniques to perform exploratory data analysis, embracing unexpected insights
5. Build and interpret models using tools like PySpark and ML-Flow, constantly testing new approaches and parameters
6. Write clean, well-documented code that facilitates collaboration and hence faster iteration
7. Continuously evaluate and enhance existing models, viewing each iteration as an opportunity to learn and improve

Technical Skills

1. Proficiency in rapidly prototyping and testing ideas using large, complex datasets and SQL
2. Expertise in implementing and iterating on machine learning models and algorithms, with a focus on quick experimentation cycles
3. Strong programming skills in Python and/or SQL, with an emphasis on writing code that facilitates easy modification and testing
4. Experience in leveraging data visualization techniques to quickly interpret and communicate experimental results
5. Ability to swiftly deploy and iterate on AI solutions in cloud environments

Soft Skills

1. Passionate about experimentation and embracing failure, viewing setbacks as valuable learning opportunities
2. Excellent written and verbal communication skills, able to articulate the value of experimentation and rapid iteration to stakeholders
3. Thrives in ambiguity and uncertainty, comfortable with the idea that most experiments will not succeed; also designing good experiments is a crucial part of the R&D process
4. Skilled at analyzing problems from multiple angles and generating a high volume of potential Solutions

Preferred Qualifications

1. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
2. Minimum of 2 years of hands-on experience in data analysis, modeling, and AI solutions development

About us
Prodigal is your consumer finance AI specialist. We provide operational and strategic intelligence to increase revenue and reduce costs. Operational intelligence includes solutions like compliance scores, note automation and complaints capture to help you increase day to day operational efficiency. Strategic intelligence includes critical signals like intent to pay scores, the best time to contact consumers, and the best messages to use. This intelligence helps you increase revenue and make more informed business decisions.

Prodigal is headquartered in Mountain View, California, and their global team is on a mission to build the intelligence layer that powers consumer finance. With the backing of domain experts, technology leaders, and top investors, including Accel, Menlo Ventures, and Y-Combinator, Prodigal is poised to become the next iconic vertical SaaS company.