Machine Learning Engineer
Location
Mumbai | India
Job description
- We are a fast-growing Bay Area-based startup backed by leading investors like Menlo Ventures, Accel and Y-Combinator
- We create AI and ML-powered software for the finance and lending industries, focused on repayment and debt recovery
- We work to improve conversations between call center agents and customers and provide actionable insights
- Our products use AI to create next-generation speech analytics that support real-time agent guidance, automated notes after conversations, and call analysis for quality assurance and compliance
- The team has deep technical talent today and we believe there is an opportunity to build an iconic vertical software business that will fundamentally impact how the multi-trillion-dollar debt industry is managed
- Debt has such a massive impact on consumers and prior to Prodigal, the industry was saddled with painful, low value manual workflows, and poor customer experience- our mission is to humanize the debt repayment process through automation and data
- We are looking for a talented Machine Learning (ML) Engineer to play a pivotal role in the design, development and deployment of cutting-edge Machine Learning and Generative AI solutions towards Prodigal s vision of building the Intelligence Layer for Consumer Finance
Responsibilities:
- ML Algorithm Development: Design and implement advanced ML algorithms leveraging traditional Machine Learning techniques and the modern NLP stack, including Large Language Models (LLMs)
- Data Engineering Software Development: Architect and implement data pipelines for ML model training. Lead scalable software systems development to deploy ML models into production systems, ensuring high performance and reliability.
- Research Innovation: Stay updated on ML research and the ever-changing Gen AI landscape, identifying opportunities for innovation.
- Collaboration: Effectively collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Requirements:
- Experience (2-3 years) working in Machine Learning and Data Science at a tech company.
- Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.
- Proficiency in Python. Familiarity with machine learning libraries like PyTorch and sci-kit-learn. Experience with data manipulation and analysis using Pandas and Spark.
- Prior experience in deploying machine learning models in production environments.
- Strong problem-solving skills and ability to work independently as well as part of a team.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders from diverse backgrounds.
- Ability and willingness to work in person in our Thane office.
Preferred Qualifications:
- Experience training and using Large Language Models (BERT, LLAMA, GPT etc) with a passion for applying Generative AI solutions in production environments.
- Familiarity with cloud platforms such as AWS
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