Senior ML Engineer (R14284)
Oportun (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 22–38 LPA
Posted 23d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, implementation, deployment, and operation of ML platform capabilities supporting the ML lifecycle including model deployment, feature computation, validation, orchestration, monitoring, and production support.
- Own significant technical initiatives end to end, improve platform reliability, scalability, and developer experience, and conduct complex production investigations to deliver durable fixes.
- Provide mentorship and technical leadership, conduct code/design reviews, and collaborate with cross-functional teams to translate business needs into practical ML platform solutions.
Minimum Requirements
- 5+ years professional software engineering experience with strong Python programming skills.
- Experience designing and operating reliable, scalable cloud-native or data-intensive systems related to ML platforms, model serving, MLOps, or similar.
- Hands-on experience with Docker, Kubernetes, CI/CD, API design, distributed systems, and software design fundamentals.
- Must work remotely from within India; relocation to India is open but work location is mandatory in India.
Ideal Candidate Profile
- Experienced in end-to-end ML platform engineering rather than ML model development or data science.
- Able to lead complex ambiguous problems to practical technical solutions and own outcomes post-launch with minimal direction.
- Demonstrates strong architectural judgment, production ownership, and mentoring ability in ML platform or MLOps contexts.