Machine Learning Engineer
Tasks
- Collaborate on generative modeling initiatives
- Conduct experimentation hypothesis testing
- Deploy and adapt AI models
- Develop train optimize deep learning models
- Document technical work and support publications
- Ensure scalability reliability across distributed environments
- Identify technical bottlenecks and improve workflows
- Improve machine learning pipelines
- Maintain code quality and reproducibility
Perks/Benefits
- Autonomy
- Career growth
- Continuous learning
- Flexible distributed environment
- Fully remote work
- Global collaboration
Skills/Tech-stack
Accelerate | Data Analysis | Deep learning | Diffusers | Distributed Computing | Experiment design | GPU Computing | Generative Modeling | Hugging Face | Language Models | Large Language Models | Large-scale | Large-scale Datasets | Machine Learning | Machine Learning Pipelines | Model Evaluation | PyTorch | Python | Reliability | Representation Learning | Scalability | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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