Principal AI/ML Engineer - VC Backed Startups
Tasks
- Apply state of the art AI methodologies including large language models and reinforcement learning
- Architect and develop machine learning and deep learning models for production systems
- Build scalable training and inference pipelines
- Collaborate on AI ML research publications patents and open source contributions
- Implement MLOps with monitoring retraining and deployment automation
- Integrate AI/ML into business solutions
- Lead AI strategy and identify opportunities for model optimization
- Optimize models for efficiency accuracy and scalability
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Spark | Azure Machine Learning | BigQuery | Computer Vision | Deep learning | Distributed Training | Docker | Fine Tuning | Hadoop | Hugging Face | Hugging Face Transformers | JAX | Kafka | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Distillation | Natural Language | Natural Language Processing | ONNX | Pruning | PyTorch | Python | Quantization | Ray | Redis | Reinforcement Learning | Retrieval-Augmented Generation | SageMaker | Snowflake | TFX | TensorFlow | TensorRT | Transformers | Vertex AI
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Principal | Principal AI/ML Engineer
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