AI Engineer, Manager - Technology Consulting
Tasks
- Architect AI solutions
- Build AI systems
- Build knowledge graphs
- Coordinate cross-functional teams
- Develop semantic search solutions
- Enforce MLOps best practices
- Ensure AI testing validation monitoring
- Ensure data privacy compliance
- Fine-tune large language models
- Gather requirements
- Implement bias fairness checks
- Implement model quantization
- Implement retrieval-augmented generation
- Improve model cost efficiency
- Lead client project delivery
- Mentor junior engineers
- Optimize gpu infrastructure
- Perform code reviews
- Reduce model latency
- Troubleshoot complex issues
Perks/Benefits
- Coaching
- Continuous learning
- Diverse and inclusive culture
- Flexible working arrangements
- Inclusive work culture
- Tools and flexibility
Skills/Tech-stack
AWS | Azure | Batching | CI/CD | CUDA | Caching | Cloud Computing | DevSecOps | Distributed Training | Docker | Embeddings | Faiss | GPU Computing | Google Cloud | Knowledge graphs | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Quantization | Model Serving | Natural Language | Natural Language Processing | Ontologies | Pinecone | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Transformers | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Engineer Manager | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Manager | Scientist
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