AI / ML Engineer
Tasks
- Apply GenAI models in solutions
- Build LLM orchestration workflows
- Collaborate with cross-functional teams
- Containerize AI services with Docker
- Deploy models to production
- Design RAG pipelines
- Develop AI/ML applications
- Ensure ethical AI compliance
- Implement vector database search
- Integrate Azure AI services
- Monitor system observability
- Provide technical mentorship
- Set up CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Async Programming | Autogen | Azure AI | Azure AI Search | Azure Cognitive | Azure Cognitive Search | Azure Event | Azure Event Hubs | Azure Key Vault | Azure Monitor | Azure OpenAI | Azure Purview | CI/CD | Cognitive Search | Compliance | CrewAI | Django | Docker | Ethical AI | Event Hubs | FastAPI | Feature Stores | Grafana | Kafka | Key Vault | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLflow | Model Deployment | Natural Language | Natural Language Processing | Prometheus | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Safety policies | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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