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Senior Machine Learning Engineer - Remote

Posted 19 weeks ago
Software Development
Full Time
Worldwide

Overview

Oportun is a mission-driven fintech that empowers its members with intelligent borrowing, savings, and budgeting capabilities.

In Short

  • Lead the development of ML infrastructure from model training to deployment.
  • Design and implement scalable ML pipelines using Databricks, PySpark, AWS SageMaker, and Python.
  • Leverage FastAPI for building and deploying RESTful APIs for model serving.
  • Utilize Kubernetes and Docker for containerization and orchestration.
  • Integrate with databases like MongoDB, MariaDB, and DynamoDB.
  • Develop and optimize real-time and batch feature pipelines.
  • Deploy ML models in production ensuring high performance.
  • Mentor junior engineers on best practices in ML development.
  • Build and maintain automated CI/CD pipelines using Jenkins and Docker.
  • Collaborate closely with data scientists and engineers.

Requirements

  • 5+ years in ML system design and deployment.
  • Strong proficiency in Python, PySpark, and AWS services.
  • Experience with Docker and Kubernetes.
  • Familiarity with monitoring tools like New Relic.
  • Ability to adapt to new tools and frameworks.
  • Strong problem-solving and collaboration skills.

Benefits

  • Inclusive culture fostering diversity and belonging.
  • Opportunity to lead technology efforts in large initiatives.
  • Mentorship opportunities for career growth.
  • Work with a dynamic team in a mission-driven environment.
Oportun logo

Oportun

Oportun is a forward-thinking financial technology company dedicated to empowering individuals with innovative software solutions that enhance their financial independence. The engineering team at Oportun plays a crucial role in designing, developing, and maintaining high-quality software applications that support the company's mission. With a focus on collaboration and agile methodologies, Oportun's engineers are committed to delivering elegant and intuitive systems that improve member experiences. The company values creativity and continuous improvement, striving to create a fun and rewarding work environment while tackling complex technical challenges to drive business growth.

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