AI Engineer
Tasks
- Build agentic AI systems
- Build machine learning training pipelines
- Containerize services
- Create infrastructure as code
- Design RAG pipelines
- Develop and deploy AI solutions
- Execute autonomous task workflows
- Implement AI engineering delivery and governance
- Implement CI/CD pipelines
- Manage model registry and deployment
- Monitor model performance and retrain models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agent systems | Ansible | Anthropic API | Artificial Intelligence | Autogen | Azure Machine Learning | CrewAI | Data Versioning | Datadog | Dataiku | Docker | Experiment tracking | Fine Tuning | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Jupyter | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Registry | Multi-Agent | Multi-Agent Systems | OpenAI API | Prompt engineering | PyTorch | Python | RAG | Reranking | Responsible AI | Scikit-learn | TensorFlow | Terraform | Vertex AI | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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