Opportun
San Carlos, CA
1,001-5,000 employees
Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Other Open Roles
- Director, Data Science (R12659)
- Senior Data Engineer
- Senior Manager, Data Science (R12658)
- Strategy and Data Analytics - Senior Analyst R12402
- Manager, Product Analytics
Prior Listings
- Manager, Product Analytics
- Business Analyst
- Staff Analytics Engineer- Manager
- Sr. Data Scientist, Model Risk Management
- Data Engineer
- Sr. Data Engineer
- Senior Data Scientist
- Principal Engineer - Data Engineering
- Staff Data Engineer
- Manager, Data Science
- Staff Data Engineer
- Sr. Manager, Collection Analytics
- Data Scientist
- Sr. Manager, Data Scientist
- Sr Analyst, Customer Lifecycle Marketing Strategy and Analytics
- Senior Data Scientist, Model Risk Management
- Financial Systems Senior Analyst
- Senior Manager, Product Analytics
- Sr. Engineering Manager - ML Infra
- Sr. Staff ML Engineer
Sr. Staff ML Engineer
Sr. Staff ML Engineer
This job is no longer open
Responsibilities:
- Set the strategic vision and lead the implementation of a cutting-edge ML infrastructure roadmap, encompassing all facets from model inception to deployment.
- Provide exceptional technical leadership, mentoring, and guidance to a team of machine learning engineers, fostering a culture of continuous learning and innovation.
- Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.
- Spearhead the establishment of best practices for model versioning, experiment tracking, and model evaluation to ensure transparency and reproducibility.
- Architect and execute model deployment strategies, harnessing containerization (Docker) and orchestration (Kubernetes) for exceptional scalability and reliability.
- Engineer automated CI/CD pipelines that facilitate seamless model deployment, monitoring, and continuous optimization.
- Define and refine performance benchmarks, and optimize models and infrastructure to achieve peak efficiency, scalability, and robustness.
- Remain at the forefront of industry trends and emerging technologies, expertly integrating the latest advancements into our ML ecosystem.
Qualifications:
- Requires 12+ years of related experience with a Bachelor's degree in Computer Science; or a Master's degree with an equivalent combination of education and experience.
- Extensive experience orchestrating the development of end-to-end machine learning infrastructure for intricate and large-scale applications.
- Proven record of transformative leadership, guiding technical teams to achieve remarkable outcomes and innovation.
- Profound mastery of machine learning frameworks such as TensorFlow, PyTorch, or equivalent, coupled with Python programming.
- Deep expertise in containerization (Docker) and orchestration (Kubernetes) for orchestrating complex machine learning applications.
- Thorough comprehension of software engineering principles, version control (Git), and collaborative development workflows.
- Adeptness with cloud platforms (AWS or Azure) and utilization of cloud-native services for crafting robust ML infrastructure.
- Track record of successfully integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines.
- Superior problem-solving acumen and ability to navigate intricate technical challenges with dexterity.
- Exceptional communication aptitude, capable of fostering effective collaboration across diverse teams and stakeholders.
If you are passionate about using your technical & ML expertise to drive social impact and financial inclusion, we invite you to join us in our mission at Oportun. Apply now to become a part of our dynamic team and make a difference in the lives of millions.
This job is no longer open