Job Description

　　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 (Ford's 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 and Requirements

　　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. * Bachelor's degree in Computer Science, Computer Engineering or a related field of study * 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. * 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. nullWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].