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
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