Machine Learning Engineer - Intermediate - PSP - EC1294

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