AI Model Engineer
Tasks
- Automate model deployment
- Build CI/CD automation pipelines
- Conduct feasibility studies and prototypes
- Coordinate applied research program execution
- Deliver technical briefings and presentations
- Design computer vision models
- Ensure data ingestion curation and storage
- Evaluate emerging AI technologies
- Fine tune model architectures
- Implement machine learning pipelines
- Monitor model performance
- Support DevSecOps practices
- Train machine learning algorithms
Perks/Benefits
Skills/Tech-stack
AWS Glue | Agentic Workflow | Apache Airflow | Apache Spark | Bash | CI/CD | Computer Vision | Containerization orchestration | Data Governance | Databricks | Deep learning | DevSecOps | Docker | Drift Detection | ETL | Elastic | F1-score | GitHub Actions | GitLab | Image classification | Impact Level | Impact Level Controls | Jenkins | Kubernetes | Language Models | Large Language Models | Level controls | Linux | Machine Learning | Metadata Management | Model Evaluation | Model Observability | MongoDB | Multimodal Learning | ONNX | Object Detection | OpenShift | PostgreSQL | Precisión | Prompt engineering | PyTorch | Real Time | Real-time Dashboards | Recall | Retrieval-Augmented Generation | STIG | Statistical drift detection | TensorFlow | Tracking | YOLO
Education
Roles
AI | AI Model Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Model Engineer
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