Principal AI/ML Engineer - VC Backed Startups
Tasks
- Architect machine learning models
- Automate model deployment
- Build training and inference pipelines
- Collaborate on AI research publications
- Contribute to open source
- Develop deep learning models
- Implement MLOps for monitoring and retraining
- Integrate AI into business solutions
- Lead AI strategy
- Optimize model performance
- Research state-of-the-art AI methods
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon SageMaker | Apache Spark | Azure Machine Learning | Cloud Computing | Computer Vision | Data Processing | Deep learning | Distributed Training | Docker | Fine Tuning | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hadoop | Hugging Face | Hugging Face Transformers | JAX | Kafka | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Fine-tuning | Model Monitoring | Model Quantization | Natural Language | Natural Language Processing | NoSQL | ONNX | PyTorch | Python | Ray | Reinforcement Learning | Retrieval-Augmented Generation | TFX | TensorFlow | TensorRT | Transformers | Vertex AI
Education
N/A
Regions
Countries
States
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