ABOUT OPORTUN
Oportun (Nasdaq: OPRT) is a digital banking platform that puts its 2.2 million members' financial goals within reach. With intelligent borrowing and savings, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $17.8 billion in responsible and affordable credit, saved its members more than $2.3 billion in interest and fees, and helped our members save an average of more than $1,800 annually. For more information, visit Oportun.com.
WORKING AT OPORTUN
Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups.
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.
- 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.
We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.
California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/.
We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).
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