Director, AI & Data Science
135 W 26th Street, New York, NY 10001; Montréal, Quebec, Canada
R
CAD 200K Executive-level Full Time
Tasks
- Apply Microsoft AI Foundry and AWS Bedrock as needed
- Architect and deploy solutions on Google Vertex AI
- Architect scalable reliable cost efficient inference systems
- Build agent harness orchestration layers
- Conduct pre sales scoping demos and proof of concepts
- Curate training data for supervised fine tuning
- Define and standardize context engineering practices
- Deploy adapted models for client use cases
- Design RAG architectures and vector store solutions
- Design and operate fine tuning pipelines
- Enable observability for LLM systems
- Implement evaluation frameworks and guardrails
- Lead design and delivery of production AI solutions
- Manage mentor and develop AI and machine learning team
- Oversee classical and modern machine learning model development
- Present solution architectures to prospective clients
- Shape generative AI architecture and platform roadmap
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agent Harness | Agentic Systems | Data Curation | Fine Tuning | Gemini Enterprise | Generative AI | Google Gemini | Google Gemini Enterprise | Google Vertex | Google Vertex AI | Guardrails | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Metrices Evaluation | Microsoft AI | Microsoft AI Foundry | Observability | Prompt engineering | PyTorch | RAG | Scikit-learn | Supervised Learning | System design | TensorFlow | Training data | Training data curation | Vector Databases | Vertex AI | XGBoost
Education
Regions
Countries
States
Cities
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