Senior AI Consultant
Tasks
- Apply deep learning and NLP techniques
- Build RAG systems
- Collaborate with domain experts and stakeholders
- Conduct data exploration and preparation
- Containerize and deploy with Kubernetes
- Deploy AI systems on Azure or GCP
- Design and optimize prompts
- Design scalable LLM and ML architectures
- Develop LLM applications
- Develop data pipelines and datasets
- Implement clean code best practices
- Implement responsible AI solutions
- Present technical solutions and recommendations
- Support full AI product lifecycle
Perks/Benefits
Skills/Tech-stack
API Design | Accountability | Agentic Architectures | Azure | Azure DevOps | BDD | CI/CD | Cloud Build | Concurrency | Deep learning | Docker | Fairness | FastAPI | GCP | Google Cloud | Google Cloud Build | Jenkins | Kubernetes | LLM architectures | Langchain | Language Processing | Machine Learning | Microservices | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Responsible AI | Spring | TDD | Transparency | Vector Search
Education
N/A
Roles
AI | AI Consultant | Consultant | Engineer | Learning Engineer | Machine Learning Engineer
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