Software Engineer

Hybrid in Dearborn, MIRequires python development, GCP, DevOps, CICD. Good to have - Background in Gen AI, UI (React/Angular)GDI&A is looking for a Software Engineer focused on building and driving the strategy forward for our internal AI/ML platform. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with business partners, product managers and designers, and will release early and often. The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML (AI/ML platform similar to Uber’s Michelangelo, Facebook’s FBLearner, etc) on GCP journey or other ML Engineering / MLOps tasks, focusing on Mach1ML adoption and AI/ML democratization.

Skills Required:Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology. Work with other Software and ML Engineers to tackle challenging AI problems. Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest ML and GCP technologies. Work with Architects to make technical decision on tools, integration, and other issues. Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform Collaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues. Grow technical capabilities / expertise and provide guidance to other software engineers on the team.

Skills Preferred

Experience working with Google Cloud platform.

Experience with Python and has used Machine Learning tools (pytorch, tensorflow, xgboost etc).

Experience using orchestration tools like Airflow. Good to have

experience or knowledge of Deep Learning, LLM. Basic knowledge on React / Angular.

Experience in supporting continuous improvement by investigating development alternatives.

Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc.

Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts.

Experience applying Agile practices to solution delivery. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Open to learning new technology. Strong communication and presentation

skills, ability to share/teach others, work collaboratively with others. Good understanding of cloud design considerations and limitations and impact of pricing.

Experience Required:Bachelor’s degree in Computer Science or a related field of study 2+ years of

experience in Python, Machine Learning Technologies or Deep Learning. 3+ years of work

experience as a software engineer with exceptional software engineering knowledge.

Experience Working With Google Cloud Platform Or Other Cloud

experience.

Education Required:Bachelor’s degree in Computer Science or a related field of study

Education Preferred: Additional Safety Training/Licensing/Personal Protection

Requirements: Additional Information :Google Cloud Platform Engineer Preferably Hybrid Will consider Remote candidates

Why should you choose Epitec?We started Epitec with a single focus, “Placing People First.” Knowing every good endeavor begins with listening and understanding, we’ve set about challenging every part of the employment process. Bringing the proper connections together for the perfect fit.

How is Epitec different?Epitec gets to know our prospective employees, using these insights to locate the perfect placement for you. We are there, every step of the way. Providing a best-in-class

compensation package combined with the opportunity to grow financially and personally through your work.

What is the result?Epitec represents the world’s top companies and works to fill their open jobs with the world’s best talent. That’s led to Epitec servicing an impressive list of Fortune 100 companies. We've also won many awards, including one of Crain’s Detroit Business “Cool Places to Work,” and 101 Best & Brightest – local, national and elite winner. And that’s just the beginning, as we work to innovate the way the world thinks about employment.