Job Title: AI engineer
Location: Dearborn, MI,48120- 2 days onsite in a week
Employment Type: Full-time
Position 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 / Generative AI - LLM 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 have used Machine Learning algorithms (pytorch, NLP etc) .
Experience using orchestration tools like Airflow and have knowledge of Infrastructure as code (Terraform).
Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts, Kubernetes (k8).
Experience with Generative AI LLM and building frontend with React / Chainlit / Streamlit.
Experience in supporting continuous improvement by investigating development alternatives.
Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc.
Experience in creating an API service with Fast API / Flask.
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:
4+ years of experience in Python and Machine Learning Technologies.
2+ years of experience in Generative AI - LLM.
3+ years of work experience as a software engineer with exceptional software engineering knowledge.
Experience working with Google Cloud Platform or other cloud experience. CICD tools (Tekton / Cloud Build / Airflow etc.) experience.
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