Note: The job is a remote job and is open to candidates in USA. PortPro is revolutionizing the drayage industry with their web-based operating system. They are seeking a Staff Engineer to lead the architecture design and execution of machine learning-based solutions, ensuring efficient supply chains while collaborating across teams to deliver innovative customer-facing experiences.
Responsibilities
- You'll lead the architecture design and execution to build machine learning-based solutions in the cloud and on a mobile app. This will include but is not limited to the use of Generative AI/Large Language Models (LLMs),Optimization Problems, building Domain Specific LLMs
- You will be expected to work full stack across mobile app, cloud services to deliver ML-backed features for customers
- You will identify, invent and follow best practices for deploying ML to the cloud and app
- Translate ambiguous product definition into detailed requirements, and end-to-end technical strategy docs
- Define and develop infrastructure to build, release and test updates to underlying ML models in production systems. You will build solutions that let the team quickly experiment while maintaining an exceptionally high quality bar for shipped software
- You will lead SCRUM/Agile ceremonies to create and execute consistent and timely delivery. You will identify and represent technical risks to the customer experience, or its delivery to senior leaders and stakeholders
- You'll work with Production, Engineering, Data Science to plan, design and deliver customer-facing experiences
- Be hands-on in shaping product, user experience, and team processes to iterate quickly
- Expect to dive deep into the customer problem
- This team will develop expertise in building software that directly influences real-world human behavior
Skills
- Lead the architecture design and execution to build machine learning-based solutions in the cloud and on a mobile app
- Work full stack across mobile app, cloud services to deliver ML-backed features for customers
- Identify, invent and follow best practices for deploying ML to the cloud and app
- Translate ambiguous product definition into detailed requirements, and end-to-end technical strategy docs
- Define and develop infrastructure to build, release and test updates to underlying ML models in production systems
- Build solutions that let the team quickly experiment while maintaining an exceptionally high quality bar for shipped software
- Lead SCRUM/Agile ceremonies to create and execute consistent and timely delivery
- Identify and represent technical risks to the customer experience, or its delivery to senior leaders and stakeholders
- Work with Production, Engineering, Data Science to plan, design and deliver customer-facing experiences
- Be hands-on in shaping product, user experience, and team processes to iterate quickly
- Dive deep into the customer problem
Company Overview