Demo

Python/AI/ML Platform Engineer

Miracle Software Systems, Inc
Dearborn, MI Full Time
POSTED ON 2/25/2025
AVAILABLE BEFORE 3/22/2025

Miracle Software Systems, Inc. is actively hiring for the role of Python/AI/ML Platform Engineer to support one of its direct clients in Dearborn, Michigan.


Note: This role is offered on a W2 employment basis.


Requirement Details:

Job Title : Python/AI/ML Platform Engineer

Location : Dearborn, Michigan.

Duration : Full-time

Skills Required:

"CICD, MLOps, and software engineering

GCP, Python, Machine Learning frameworks (e.g., PyTorch, NLP)

Generative AI - Large Language Models (LLMs)

Orchestration tools (e.g., Airflow)

Infrastructure as Code (IaC) (e.g., Terraform)

Containerization (e.g., Docker, Kubernetes)

CI/CD tools (e.g., Tekton, Cloud Build)

API development (e.g., FastAPI, Flask)

Frontend frameworks (e.g., React, Chainlit, Streamlit)

Agile practices (e.g., Pair Programming, Test-Driven Development)

Software Craftsmanship principles

Cloud design considerations and cost optimization

Strong communication and collaboration skills"

Description:

Experience Required: 8 years


Work Status: Hybrid


"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.

Experience Preferred:

Some experience in Python. ***Update as of 2/3/25*** This position requires a strong hands-on experience in CICD, MLOps, and software engineering.

Education Required:

• Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information:

General coding Proficiency HRA Test Required Hybrid / onsite position 1-2 days a week but may change in the future"

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