Software Engineer - Machine Learning
Spring, TX, United States
As a Software Engineer – Machine Learning, you will work to rapidly develop AI-powered software applications, especially internal business applications. You will work closely with data scientists and other software engineers using the latest tools and technologies.
Below is a description of responsibilities, but this role will require the flexibility to adapt to other duties and responsibilities as needed.
Responsibilities
Lead the productionalization efforts of an AI/ML solution
Work closely with the project team (project lead, data scientists, other engineers) and with business stakeholders to understand requirements and design an AI/ML solution accordingly
Hands-on development of the solution: writing clean maintainable code, configuring infrastructure (automations, monitoring, CI/CD, etc.)
Provides subject matter expertise to the rest of the team, e.g. proactively looking for opportunities to streamline the solution development process
Provides guidance and mentoring to less-experienced team members in the same function
Skills And Profile
Prior software engineering experience with business applications in a cloud environment.
Prior experience deploying, monitoring, and maintaining AI/ML applications in production
Prior experience creating and maintaining machine learning modeling infrastructure
Proficient in Python for production applications
Technologies you may use include: AzureML services, Databricks, SQL, Docker, CI/CD
Prior experience working in a distributed team with diverse backgrounds is a plus. Ability to engage in discussions in a respectful manner is a must.
In this team we value a start-up mindset and a sense of urgency to deliver to our internal customers. The ideal candidate will have experience from a fast-moving SaaS start-up in addition to experience from a large complex organization.
Mastery in English is required.
Education And Length Of Experience
Bachelor's degree in Computer Science or similar, or demonstrated competence, plus typically a minimum of 7-10 years of relevant experience or equivalent. Graduate level (e.g. Master's) degree preferred.
#J-18808-Ljbffr