AI Engineer
Mississauga, ON
CAD 120K-170K (estimate) Senior-level Contract Full Time
Tasks
- Build MLOps deployment pipelines
- Build and implement RAG pipelines
- Containerize and orchestrate AI services in Kubernetes
- Create prompt engineering strategies and reusable prompt templates
- Deploy LLM-based applications to production
- Design and evaluate GenAI performance and safety guardrails
- Develop generative AI and LLM applications
- Implement vector database storage and retrieval
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | ArgoCD | Azure DevOps | CI/CD | Container Orchestration | FastAPI | Generative AI | GitLab CI | Hugging Face | Jenkins | Knowledge graphs | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Mongo Atlas | Natural Language | Natural Language Processing | Neo4j | Neural Networks | NumPy | OpenShift | PG Vector | Pandas | Pinecone | Prompt Tuning | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Seaborn | TensorFlow | Transformers | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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