AI Engineer
Tasks
- Apply MLOps and LLMOps practices
- Build LLM applications and RAG pipelines
- Build cloud native AI ML pipelines
- Design develop deploy AI/ML solutions
- Develop AI agents and orchestration frameworks
- Develop model monitoring and quality assurance
- Ensure AI security privacy governance compliance
- Evaluate emerging AI technologies via prototypes
- Implement responsible AI controls
- Implement scalable backend services and API layers
- Translate business requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | APIs | Agentic AI | Apache Spark | Artificial Intelligence | Azure OpenAI | Bias monitoring | CI/CD | Explainability | Fairness | Generative AI | Hugging Face | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model Validation | Model versioning | OpenAI | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Search | TensorFlow | Vector embeddings
Education
Roles
AI | AI Engineer | Engineer
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