

AI Engineer /w GCP
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with GCP experience, offering a long-term contract in Dearborn, MI (4 days onsite, 1 day remote). Candidates must have strong Python skills, cloud engineering experience, and a Bachelor's degree in Computer Science or related field.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Dearborn, MI
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π§ - Skills detailed
#DevOps #Infrastructure as Code (IaC) #Kubernetes #Docker #GCP (Google Cloud Platform) #Computer Science #GitHub #BigQuery #FastAPI #REST API #Scala #REST (Representational State Transfer) #Python #"ETL (Extract #Transform #Load)" #Programming #Django #Langchain #ML (Machine Learning) #AI (Artificial Intelligence) #Flask #Terraform #Cloud
Role description
EPITEC is seeking an AI Engineer with GCP experience to join our client's Analytics team and help build cutting-edge Generative AI applications that transform the future of mobility.
This role blends AI development, cloud engineering, and full-stack architecture to deliver intelligent, scalable solutions on Google Cloud Platform (GCP).
β’
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β’ Its a w2 role , no c2c/1099 Accepted
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β’
β’
β’
β’
β’ Candidates must have hands -on GCP Experience
β’
β’
β’
β’
β’
β’ Candidates outside MI must relocate
β’
β’
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β’ Type : Long term Contract
Location : Dearborn , MI ( 4 days onsite/ 1 day Remote)
π Responsibilities
β’ Develop and deploy generative AI solutions using Python and GCP services (Vertex AI, Cloud Run, BigQuery).
β’ Collaborate with cross-functional teams including product managers, designers, and ML engineers.
β’ Build and manage cloud infrastructure using Infrastructure as Code (Terraform).
β’ Maintain and improve CI/CD pipelines using tools like Tekton, GitHub Actions, and Cloud Build.
β’ Implement agentic AI workflows using frameworks like LangChain, CrewAI, etc.
β’ Apply software craftsmanship practices like Paired Programming and Test-Driven Development.
π οΈ Skills Required
β’ Strong Python programming and backend development experience.
β’ Hands-on experience with GCP services (Vertex AI, Cloud Run, BigQuery).
β’ Proficiency in REST APIs and web frameworks (FastAPI, Flask, Django).
β’ Familiarity with CI/CD tools and DevOps practices.
β’ Experience with containerization (Docker, Kubernetes).
β’ Knowledge of MLOps and generative AI frameworks.
π Experience & Education
β’ Required: Bachelorβs degree in Computer Science or related field; 6+ years in IT, 4+ years in development.
β’ Preferred: Masterβs degree in AI/ML or related field; experience with agentic AI frameworks and serverless architecture.
EPITEC is seeking an AI Engineer with GCP experience to join our client's Analytics team and help build cutting-edge Generative AI applications that transform the future of mobility.
This role blends AI development, cloud engineering, and full-stack architecture to deliver intelligent, scalable solutions on Google Cloud Platform (GCP).
β’
β’
β’ Its a w2 role , no c2c/1099 Accepted
β’
β’
β’
β’
β’
β’ Candidates must have hands -on GCP Experience
β’
β’
β’
β’
β’
β’ Candidates outside MI must relocate
β’
β’
β’
β’ Type : Long term Contract
Location : Dearborn , MI ( 4 days onsite/ 1 day Remote)
π Responsibilities
β’ Develop and deploy generative AI solutions using Python and GCP services (Vertex AI, Cloud Run, BigQuery).
β’ Collaborate with cross-functional teams including product managers, designers, and ML engineers.
β’ Build and manage cloud infrastructure using Infrastructure as Code (Terraform).
β’ Maintain and improve CI/CD pipelines using tools like Tekton, GitHub Actions, and Cloud Build.
β’ Implement agentic AI workflows using frameworks like LangChain, CrewAI, etc.
β’ Apply software craftsmanship practices like Paired Programming and Test-Driven Development.
π οΈ Skills Required
β’ Strong Python programming and backend development experience.
β’ Hands-on experience with GCP services (Vertex AI, Cloud Run, BigQuery).
β’ Proficiency in REST APIs and web frameworks (FastAPI, Flask, Django).
β’ Familiarity with CI/CD tools and DevOps practices.
β’ Experience with containerization (Docker, Kubernetes).
β’ Knowledge of MLOps and generative AI frameworks.
π Experience & Education
β’ Required: Bachelorβs degree in Computer Science or related field; 6+ years in IT, 4+ years in development.
β’ Preferred: Masterβs degree in AI/ML or related field; experience with agentic AI frameworks and serverless architecture.