AI Engineer
Tasks
- Build LLM-based applications
- Build machine learning pipelines
- Collaborate with stakeholders to identify AI use cases
- Deploy AI/ML models
- Design AI/ML models
- Develop agentic AI workflows
- Develop generative AI solutions
- Develop microservices for AI
- Ensure security, privacy, and responsible AI compliance
- Implement data preprocessing and feature engineering
- Implement model monitoring in production
- Implement retrieval-augmented generation
- Integrate AI via APIs
- Manage model versioning and deployment
- Monitor model performance accuracy and drift
- Train, evaluate, and deploy models
- Tune model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | AWS SageMaker | Azure AI | Azure AI Services | Azure DevOps | BigQuery | CI/CD | ChromaDB | Computer Vision | Deep learning | Docker | Embeddings | Generative AI | GitHub Actions | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Microservices | MongoDB | NLP | NoSQL | Pinecone | PostgreSQL | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | TensorFlow | Vector Databases | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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