Python-AI/ML Software Engineer

1 week ago

Dearborn MI, United States Miracle Software Systems, Inc Full time $120,000 - $250,000 per year

Miracle Software Systems, Inc is looking for
Python-AI/ML Software Engineer
position at
Dearborn, MI.
Please find the below job description

Position Responsibilities:

  • Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
  • Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
  • Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments.
  • Maintain and manage current CI/CD ecosystem and tools.
  • Find ways to automate and continually improve current CI/CD and release processes.
  • Examine, inspect code and scripts, and resolve issues across the full application stack.
  • Help innovate and standardize development practices for building cloud-native AI products.
  • Experiment, innovate and share knowledge with the team.
  • Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
  • Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.
  • Google Cloud Platform HRA required

Basic Qualifications:

  • 10+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
  • 6+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure).
  • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery etc.
  • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++.
  • Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django).
  • Experience/understanding in MLOPs, Gen AI, AI agents.
  • Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
  • Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc.
  • Experience in container management solutions: Kubernetes, Docker.
  • Experience with scripting language: Bash, PowerShell etc.
  • Experience with Infrastructure as Code: Terraform etc.

Desired Skills:

  • Experience working with Google Cloud Platform (GCP) – specifically a broad range of compute, data and messaging services like GKE, CloudSQL, BigQuery, Firestore, Pub/Sub, Memorystore, and Elasticsearch.
  • Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, CrewAI etc.
  • Experience building and deploying serverless applications on Cloud Run.
  • Experience in programming concepts such as Paired Programming, Test-Driven Development, etc.
  • Knowledge of coding and software craftsmanship practices.
  • Must be a quick learner and open to learning new technology.
  • Experience applying agile practices to solution delivery.
  • Must be team-oriented and have excellent oral and written communication skills.
  • Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.

Skills Required:
Python, GCP, REST APIs, Full Stack Python, GCP (Vertex AI, Cloud Functions, Cloud Run, BigQuery). AI/ML components: Generative AI, MLOps, REST APIs (FastAPI/Flask/Django), Jenkins, Terraform, MLOps tools (Airflow/Kubeflow), Bash/PowerShell scripting.

Skills Preferred:
Machine Learning, Artificial Intelligence & Expert Systems, Tekton, GitHub, Docker, Kubernetes

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