AI/ML Engineer TS/SCI
Tasks
- Create machine learning training runbooks
- Design machine learning models
- Develop and deploy large language models
- Develop and deploy object detection systems
- Develop deep learning models
- Ensure reproducibility with data versioning
- Evaluate model performance and scalability
- Integrate models into production systems
- Optimize model architectures
- Perform feature engineering
- Prepare datasets for training and evaluation
Perks/Benefits
- 401k match
- Disability insurance
- Home office & equipment plan
- Life insurance
- Medical, dental & vision coverage
- Paid certifications and training
- Paid time off
- Professional growth
- Remote flexibility
Skills/Tech-stack
Cloud Native | Cloud-Native Deployment | Convolutional Neural Networks | Data Versioning | Dataset Preparation | Deep learning | DevSecOps | Feature Engineering | Hugging Face | LakeFS | Language Models | Large Language Models | MLOps | Machine Learning | Neural Networks | Object Detection | Ollama | PyTorch | Recurrent Neural Networks | STAC | TensorFlow | Transformers
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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