Job Title: AI Engineer
Location: Prologis Blvd MississaugaON / Onsite
Duration: Long Term
Role Summary
Were hiring an AI Engineer to build fine-tune and deploy machine learning and LLM-powered applications. Youll work hands-on with models data pipelines and production systems to bring AI features into real products.
Responsibilities
Build and deploy ML/AI models and AI-powered features
Fine-tune evaluate and optimize models (including LLMs)
Develop inference pipelines and integrate models into backend services
Implement RAG pipelines embeddings and vector search
Work with data engineers to prepare training and evaluation datasets
Monitor model performance drift and reliability in production
Optimize latency cost and performance of AI services
Write clean tested production-quality code
Requirements
3 years of experience in software engineering or ML engineering
Strong Python skills (PyTorch TensorFlow or similar)
Experience deploying ML models to production environments
Experience working with APIs microservices and cloud platforms
Understanding of ML fundamentals (training evaluation feature engineering)
Nice to Have
Experience with LLMs prompt engineering RAG and vector databases
Experience with MLOps CI/CD monitoring and model versioning
Experience with distributed systems or data pipelines
Familiarity with SQL and basic data engineering concepts
Job Title: AI Engineer Location: Prologis Blvd MississaugaON / Onsite Duration: Long Term Role Summary Were hiring an AI Engineer to build fine-tune and deploy machine learning and LLM-powered applications. Youll work hands-on with models data pipelines and production systems to bring AI features...
Job Title: AI Engineer
Location: Prologis Blvd MississaugaON / Onsite
Duration: Long Term
Role Summary
Were hiring an AI Engineer to build fine-tune and deploy machine learning and LLM-powered applications. Youll work hands-on with models data pipelines and production systems to bring AI features into real products.
Responsibilities
Build and deploy ML/AI models and AI-powered features
Fine-tune evaluate and optimize models (including LLMs)
Develop inference pipelines and integrate models into backend services
Implement RAG pipelines embeddings and vector search
Work with data engineers to prepare training and evaluation datasets
Monitor model performance drift and reliability in production
Optimize latency cost and performance of AI services
Write clean tested production-quality code
Requirements
3 years of experience in software engineering or ML engineering
Strong Python skills (PyTorch TensorFlow or similar)
Experience deploying ML models to production environments
Experience working with APIs microservices and cloud platforms
Understanding of ML fundamentals (training evaluation feature engineering)
Nice to Have
Experience with LLMs prompt engineering RAG and vector databases
Experience with MLOps CI/CD monitoring and model versioning
Experience with distributed systems or data pipelines
Familiarity with SQL and basic data engineering concepts
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