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Stellantis is seeking a highly skilled Generative AI Developer with strong hands-on experience in Python, the Azure AI ecosystem, and Databricks.
The ideal candidate will have a proven track record of developing and deploying generative AI solutions on the Azure platform, preferably in the automotive domain.
This role is perfect for someone passionate about cutting-edge AI technologies and who can interface with cross functional teams to come up unique solutions.
Summary of Responsibilities :
Design, develop, and deploy generative AI solutions using Python and Azure AI services.
Utilize Databricks components for data preparation, model training, and deployment.
Collaborate with cross-functional teams to gather requirements and deliver scalable AI solutions.
Implement and optimize solutions using OpenAI-based models and large language models (LLMs).
Apply techniques such as Retrieval-Augmented Generation (RAG) and agentic AI in solution design.
Ensure best practices in model governance, performance, and security.
Work closely with teams across different time zones.
Communicate effectively with stakeholders and contribute to a team-oriented consulting environment.
Requirements :
Bachelor's degree in Computer Science or a related field.
years of industry experience in machine learning and AI solution development.
At least years of experience as a Machine Learning Engineer.
Minimum years of hands-on experience in Generative AI development on Azure.
Strong programming skills in Python.
Experience with Azure AI services and Databricks is a must.
Experience in the automotive domain is preferred.
Excellent communication skills and ability to work in a consulting environment.
Team player comfortable working with distributed teams and offshore collaboration.
Preferred Requirements :
Master's degree in Computer Science, Data Science, or Artificial Intelligence.
Experience developing and deploying GenAI solutions using OpenAI models on Azure.
Knowledge of RAG, large language models, and agentic AI frameworks.
Exposure to Agile methodologies and AI project delivery.
Additional Information / Must Have's :
. AI Expérience
. Automotive Electrical Domain Experience
. Automation and Simulation Tools Experience
Hyrbid - ARDC and Remote
No Driving of a Stellantis vehicle
No travel
Custom Fields
Unit of Measure : LO
Driving Required : No
Resource Type : Project
Hours Per
Hours Per
Start Time :
End Time :
Travel Required : No
Travel Percentage :
Work Location
Address Line : Rhodes Drive
Pre Identified Candidate Name :
City : Windsor
State : Ontario
Country : Canada
Postal Code : NW B
Work Schedule Mon Tue Wed Thu Fri Sat Sun Yes Yes Yes Yes Yes No No