Staff ML Engineer - R12164 at Oportun

Oportun is seeking a Staff Machine Learning Engineer to lead the development of its ML infrastructure. The ideal candidate will collaborate with data scientists, engineers, and senior leaders to craft solutions that redefine FinTech norms. This role involves elevating the company's ML capabilities and architecting state-of-the-art machine learning models.

Responsibilities:

• Leading ML infrastructure implementation.
• Providing technical leadership and mentorship.
• Taking ownership of critical projects.
• Collaborating with data scientists for data pipeline optimization.
• Establishing best practices for model versioning and evaluation.
• Architecting model deployment strategies using containerization and orchestration.
• Engineering automated CI/CD pipelines.
• Defining performance benchmarks and optimizing models.
• Integrating industry trends into the ML ecosystem.

Requirements:

• 10+ years of related experience with a Bachelor's degree in Computer Science or equivalent.
• Extensive experience orchestrating end-to-end machine learning infrastructure.
• Proven leadership in guiding technical teams.
• Mastery of machine learning frameworks (TensorFlow, PyTorch) and Python programming.
• Expertise in containerization (Docker) and orchestration (Kubernetes).
• Understanding of software engineering principles and version control (Git).
• Adeptness with cloud platforms (AWS or Azure).
• Track record of integrating DevOps practices and CI/CD pipelines.
• Superior problem-solving and communication skills.

What Oportun Offers:

• Opportunity to drive social impact and financial inclusion.