Senior AI/ML Engineer - AI Systems & Applied Intelligence
USD 170K-220K (estimate) Senior-level Full Time Found 7d ago
Tasks
- Build training pipelines
- Contribute to system architecture
- Deploy AI systems
- Deploy on cloud platforms
- Design AI models
- Develop APIs and microservices
- Document workflows
- Implement MLOps workflows
- Mentor engineers
- Optimize model performance
- Research emerging AI tech
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Cloud deployment | Computer Vision | Distributed Systems | Docker | Embeddings | Feature Engineering | Fine Tuning | GPU Acceleration | Kubernetes | LLMs | MLOps | MLflow | Machine Learning | Microservices | Model Optimization | NLP | Neural Networks | Prompt engineering | PyTorch | Python | RAG Pipelines | Real Time | Real-time Inference | SageMaker | TensorFlow | Vector Databases | Vertex AI | Weights & Biases
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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