Senior ML Engineer (R14284)

The role

This role focuses on ML Platform Engineering to build software foundations for data scientists and machine learning engineers. You will design, implement, and operate scalable systems for model deployment, serving, and workflow orchestration.

What you will do

• Lead the design, implementation, deployment, and operation of complex platform capabilities.
• Design scalable systems for model deployment, serving, feature computation, and workflow orchestration.
• Build reusable platform components, standards, and automation.
• Partner with Data Science, Product, Risk, Fraud, and Engineering teams.
• Own technical initiatives end to end and lead production investigations.
• Raise engineering quality through code and design reviews.
• Mentor engineers through pairing and technical guidance.
• Contribute to platform technical strategy.
• Use AI tools to reduce manual work and make better decisions.

Required qualifications

• 5+ years of professional software-engineering experience building and operating production systems.
• Strong programming skills in Python.
• Deep knowledge of API design, distributed systems, service architecture, testing, and software-design fundamentals.
• Experience designing and operating reliable, scalable cloud-native services or data-intensive systems.
• Experience in ML platforms, model serving, feature engineering, data platforms, MLOps, or related systems.
• Practical experience with SQL, databases, caching, and tracing data or requests.
• Familiarity with the ML lifecycle from feature engineering through deployment and monitoring.
• Experience with Docker, Kubernetes, CI/CD, Git-based workflows, and production observability.
• Ability to mentor engineers and lead through technical influence.

Nice to have

• Experience with AWS, Databricks, MLflow, SageMaker, Spark/PySpark, Kafka, or streaming systems.
• Experience building feature platforms, model-serving systems, workflow-orchestration platforms, or internal developer platforms.
• Familiarity with monitoring model quality, data quality, feature coverage, latency, reliability, or cost efficiency.
• Experience working with sensitive data in a regulated or financial-services environment.
• Experience with Java or another backend language in addition to Python.
• Familiarity with AI tools such as ChatGPT or Copilot.

Benefits

• Medical, Dental & Vision Insurance
• Provident Fund
• Life & Accident Insurance
• Internet, Fuel, Meal & Telephone Allowances

About the company

Oportun is a mission-driven financial services company that provides intelligent borrowing, savings, and budgeting capabilities. It has provided more than $22.7 billion in responsible and affordable credit.