Senior Applied AI Engineer - Remote
Tasks
- Build and maintain training data processing and inference pipelines
- Design and maintain scalable APIs and AI services
- Develop evaluation frameworks benchmark datasets and quality checks
- Implement MLOps for deployment monitoring CI CD and automated retraining
- Improve model performance across accuracy latency reliability and cost
- Integrate AI into customer workflows
- Monitor production systems and improve model and infrastructure performance
- Own end to end delivery of production AI and ML systems
- Research and evaluate emerging AI techniques
- Train, fine-tune, and optimize machine learning models
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Azure | CI/CD | Distributed Systems | Docker | GCP | Kubernetes | LLM | MLOps | Model Monitoring | PostgreSQL | PyTorch | Python | Retrieval-Augmented Generation | SageMaker | Scikit-learn | TensorFlow | Vector Databases | Vertex AI
Education
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