Director, AI & Data Science
135 W 26th Street, New York, NY 10001; Montréal, Quebec, Canada
USD 200K-200K Executive-level Full Time
Tasks
- Apply Microsoft AI Foundry and AWS Bedrock when required
- Architect solutions using Google Gemini Enterprise and Vertex AI
- Build agent harnesses with evaluation and guardrails
- Contribute to GenAI strategy and platform roadmap
- Define and standardize context engineering practices
- Deploy models to production
- Design production AI systems
- Ensure observability and safety in production
- Implement RAG architectures and vector stores
- Lead AI and machine learning solution architecture
- Lead fine tuning and model adaptation pipelines
- Manage mentor and develop AI and ML engineering team
- Manage training data curation and supervised fine tuning
- Optimize scalability reliability and inference cost
- Oversee classical and deep learning modeling for business use cases
- Present solution architectures to clients and stakeholders
- Set technical standards and drive best practices
- Support pre sales scoping and solution demonstrations
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agent Builder | Agent Orchestration | Agentic Systems | Cost Optimization | Deep learning | Evaluation | Fine Tuning | Gemini Enterprise | Generative AI | Google Agent Builder | Google Gemini | Google Gemini Enterprise | Guardrails | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft AI | Microsoft AI Foundry | Observability | Prompt engineering | PyTorch | Reliability | Retrieval-Augmented Generation | Scalability | Scikit-learn | Supervised Learning | TensorFlow | Vector Databases | Vertex AI | XGBoost
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
Regions
Countries
States
Cities
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