Senior Machine Learning Engineer

4 days ago


San Francisco, California, United States Bayone Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to lead our Machine Learning and Data Science team. As a key member of our team, you will be responsible for developing and deploying machine learning systems into production, architecting and building new and existing algorithms and systems, and mentoring and educating team members to adopt best practices in writing and maintaining production machine learning code.

Key Responsibilities
  • Manage and execute client model development and operationalization across the enterprise.
  • Architect, build, maintain, and improve new and existing suites of algorithms and their underlying systems.
  • Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, performance testing, and A/B testing.
  • Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
  • Collaborate with Product, Engineering, and Business teams on planning new capabilities.
  • Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation.
  • Write efficient and well-organized software to ship products in an iterative, continual-release environment.
  • Contribute to and promote good software engineering practices across the team.
  • Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
  • Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
Requirements
  • University or advanced degree in engineering, computer science, mathematics, or a related field.
  • 3+ years of experience developing and deploying machine learning systems into production.
  • 5+ years of experience in software engineering space.
  • 1+ year of experience mentoring and managing Core Engineering/Data Science/Client engineers.
  • Experience working with a variety of relational SQL and NoSQL databases.
  • Experience working with: Hadoop, Spark, Kafka, Scala, Python, R, etc.
  • Experience with at least one cloud provider solution (Azure, GCP).
  • Experience with CNN training and deep learning frameworks such as PyTorch, TensorFlow, Keras, or similar.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Industry experience building and productionizing creative end-to-end machine learning systems.
  • Experience working with distributed systems, service-oriented architectures, and designing APIs/API Graph.
  • Familiarity in deploying real-time client systems on Azure Cloud through frameworks such as ONNX, MLEAP, TF Serving, etc.
  • Knowledge of data pipeline and workflow management tools.
  • Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.
About Bayone

Bayone is a leading technology company that is passionate about innovation and client service. We are committed to delivering exceptional results and creating a positive impact on our clients and the community.



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