Software Engineer

4 weeks ago

Spring, United States HP Full time

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

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