AI Engineer
USD 100K-176K (estimate) Mid-level Full Time
Tasks
- Build deploy and maintain machine learning pipelines
- Deliver models using CI CD and MLOps pipelines
- Design AI/ML infrastructure
- Develop operationalize prediction classification NLP computer vision and recommendation models
- Embed responsible AI security compliance fairness and model explainability
- Enable reproducible AI workflows
- Ensure data model lineage and experiment traceability
- Improve AI ML standards and documentation
- Maintain model governance and audit compliance
- Optimize model performance inference latency training efficiency and compute cost
- Perform feature engineering model training validation and monitoring
- Support on call rotation for production AI systems
- Translate requirements into AI solutions and measurable outcomes
- Use notebooks experiment tracking and visualization
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS SageMaker | Azure AI | Azure AI Search | Azure ML | Azure ML pipelines | Azure Machine Learning | Azure OpenAI | CI/CD | Computer Vision | Databricks | Docker | GitHub Actions | Google Vertex | Google Vertex AI | Jupyter | Kubeflow | Kubernetes | LLM workflows | Language Processing | ML pipelines | MLOps | MLflow | Machine Learning | Model Evaluation | Model Explainability | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Pandas | Pinecone | Prompt engineering | PyTorch | Python | Recommendation Systems | Responsible AI | Scikit-learn | Spark | TensorFlow | Vector Databases | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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