Lead Software Engineer - AI I
Canada, Toronto, Ontario
CAD 140K-175K Senior-level Full Time Found 5d ago
Tasks
- Analyze AI systems for improvement
- Collaborate with research and product teams
- Customize AI models for domains
- Design scalable AI architectures
- Develop enterprise AI solutions
- Drive AI innovation
- Ensure AI compliance and governance
- Establish AI standards
- Evaluate AI techniques
- Implement AI testing and monitoring
- Influence product strategy through AI expertise
- Lead AI model integration
- Make technical architecture decisions
- Mentor engineering teams
- Optimize AI system performance
- Oversee AI proof-of-concept projects
- Promote MLOps/LLMOps practices
- Represent organization in industry events
- Stay updated on AI research
Perks/Benefits
- Career development
- Employee incentive programs
- Hybrid work model
- Inclusive culture
- Industry Benefits
- Mental health days
- Opportunity to work on impactful AI solutions
- Retirement plans
- Social impact initiatives
- Tuition reimbursement
- Work-life balance support
Skills/Tech-stack
AI Agents | AI Governance | AI Product Development | AI research | AI/ML | AI/ML frameworks | API Integration | AWS | Autonomous AI | Autonomous AI Agents | Azure | Cloud Platforms | Compliance | Data Pipelines | Distributed data | Distributed data pipelines | Docker | Embeddings | Expert systems | Fraud | GCP | Information Retrieval | JAX | Kubernetes | Large-scale Systems | Legal | ML frameworks | Microservices | Model Risk Management | Model risk | Multi-component pipelines | Product Development | PyTorch | Python | Retrieval-Augmented Generation | Risk Management | Scale systems | Semantic Search | Tax | Tech Leadership | TensorFlow | Terraform | Vector Databases
Language: en |
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