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