At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
We are looking for a talented Machine Learning Engineer who is passionate about delivering impactful solutions and moving models from research environments into high-performance production systems. The ideal candidate will possess a strong background in software development principles, exceptional coding skills, and a working understanding of machine learning and DevOps methodologies.
Key Responsibilities:
Collaborate closely with data scientists and cross-functional teams to integrate machine learning models seamlessly into production systems
Implement end-to-end solutions, including architecture design, business logic, deployment and monitoring
Perform exploratory data analysis, build baseline models and fine-tune existing architectures to support the data science team
Package, containerize, and deploy ML models (Financial, Text, Image) as scalable microservices (using FastAPI, Docker)
Stay updated with advancements in machine learning and related technologies to continuously improve our solutions
Drive the adoption of rigorous engineering standards and testing practices for ML codebases, ensuring high-quality, reliable ML model releases
Key Requirements:
Master's or Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant industry experience
Strong understanding of computer science fundamentals, object-oriented programming and software design patterns
Strong knowledge of machine learning fundamentals and proficiency in data analysis
Proficiency in Python, SQL, FastAPI or other RESTful API architectures and AWS
Familiarity with numpy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning
Additional Information
We believe:
Diversityis a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.
Compassionis a strength. We care about our customers and look to build long-term relationships with them.
Simplicityis a key feature. We work hard to make our forms and processes as painless and intuitive as possible.
Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.
Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.
If you believe these things too then we would love to hear from you!
A Note on Recruiting Outreach
We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
Estes cookies são necessários para o funcionamento do sítio Web e não podem ser desactivados nos nossos sistemas. Pode configurar o seu browser para bloquear estes cookies, mas nesse caso algumas partes do sítio Web poderão não funcionar.
Segurança
Experiência do utilizador
Cookies orientados para o grupo-alvo
Estes cookies são instalados no nosso sítio Web pelos nossos parceiros publicitários. Podem ser utilizados por estas empresas para definir o perfil dos seus interesses e mostrar-lhe publicidade relevante noutro local.
Google Analytics
Anúncios do Google
Utilizamos cookies
🍪
O nosso sítio Web utiliza cookies e tecnologias semelhantes para personalizar o conteúdo, otimizar a experiência do utilizador e para individualizar e avaliar a publicidade. Ao clicar em OK ou ao ativar uma opção nas definições de cookies, está a concordar com isto.
Os melhores empregos à distância por correio eletrónico
Junte-se a mais de 5'000 pessoas que recebem alertas semanais com empregos remotos!