Machine Learning Software Engineer at Mobileye bridging machine learning research and robust production deployment. Developing scalable inference pipelines primarily in Python with infrastructure tools.
About the role
- Automation Lead Software Engineer working on AI and machine learning solutions at Wells Fargo. Leading initiatives and collaborating on complex technology projects.
Responsibilities
- Lead complex technology initiatives including those that are companywide with broad impact
- Design, code, test, debug, and document for projects and programs
- Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
- Make decisions in developing standard and companywide best practices for engineering and technology solutions
- Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues
- Define architecture for machine learning pipelines, model deployment, and data integration
Requirements
- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of experience developing customer-facing, production-grade machine learning solutions
- 3+ years of experience with Python and ML Frameworks
- Experience tuning, validating, optimizing, visualizing, and debugging models
- 3+ years of large data systems and cloud computing
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Experience with containerization and orchestration (e.g. Docker, Kubernetes, Openshift).
- Strong knowledge of RESTful API design.
- Good understanding and hands on experience on UI development framework (React / Angular)
Benefits
- Competitive salary
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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