Prodigal · 2 days ago
Software Engineer - Machine Learning
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Artificial Intelligence (AI)Finance
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Responsibilities
Collaborate with fellow data scientists to implement and productionize machine learning models
Write clean, scalable code to integrate models into our tech stack
Perform model evaluations and testing to ensure robust, accurate performance
Monitor models post-deployment and tweak as needed to improve metrics
Troubleshoot issues with model pipelines and infrastructure
Contribute to the improvement of our ML architecture and frameworks
Prototype and fine-tune LLMs
Qualification
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Required
6+ months of industry experience in a ML engineering role
Proficiency in Python; experience with frameworks like PyTorch
Understanding of ML fundamentals
Ability to debug and optimize model performance
Strong communication skills and ability to work cross-functionally
Attention to detail with a passion for metrics and measurement
BS/MS degree in Computer Science, Statistics, Math or related field
Preferred
Experience deploying models on AWS or other cloud platforms
Company
Prodigal
A Consumer Finance Intelligence solution that analyzes agent and customer conversations to enhance profits, experience, and compliance.
H1B Sponsorship
Prodigal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2022 (2)
2021 (1)
Funding
Current Stage
Early StageTotal Funding
$12.12MKey Investors
Menlo VenturesY Combinator
2021-07-22Series A· $12M
2018-09-13Seed· Undisclosed
2018-08-20Seed· $0.12M
Recent News
2024-02-28
2024-01-11
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