
Senior Machine Learning System Developer
2 weeks ago
We are seeking a skilled professional to lead the development of machine learning systems. This is an exciting opportunity for someone with expertise in designing and implementing scalable ML solutions.
The ideal candidate will have experience in building end-to-end ML/MLOps systems, including model implementation, debugging, and production maintenance. They will be responsible for ensuring the smooth operation of APIs at scale, identifying ways to simplify and reduce risk customer journeys, and collaborating with cross-functional teams to drive digital business objectives.
Key Responsibilities:
- Design and implement scalable ML/MLOps systems, including model implementation, debugging, and production maintenance.
- Ensure APIs operate smoothly at scale and identify ways to simplify and reduce risk customer journeys.
- Collaborate with cross-functional teams to drive digital business objectives and deliver innovative products and propositions.
- Stay up-to-date with industry trends and emerging technologies to continuously improve and refine ML engineering practices.
Requirements:
- Master's or undergraduate degree in Computer Science/Electrical/Civil/Mechanical.
- 6-8 years of overall industry experience, with at least 3-4 years in Machine Learning (ML)/MLOps or Business Rule Engine (BRE) implementation.
- Technical expertise in ML/MLOps system design, programming & data tools, cloud & big data, CI/CD & DevOps, and API development.
- Domain knowledge in credit risk modeling and financial services is a strong plus.
- Excellent communication and stakeholder management skills, with strong project management and cross-functional collaboration abilities.
About Our Team:
This role will involve working closely with data engineers, data scientists, product managers, and senior business and credit risk stakeholders. We foster a culture of innovation, experimentation, and continuous learning, where new ideas are encouraged and supported.
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