AI Model Deployment Engineer
hace 7 días
At Talent Accelerator, we're seeking a highly skilled AI Model Deployment Engineer to design, develop, and deploy advanced machine learning models in our Generative AI products.
About the RoleThe ideal candidate will have experience in natural language processing (NLP) and deep neural networks. We offer a competitive salary of $60,000 - $80,000 per month and a hybrid remote work arrangement in Ciudad de México, CDMX.
Responsibilities- Design, develop, and deploy machine learning models at scale using TensorFlow or PyTorch.
- Collaborate with data scientists and developers to integrate models into existing products.
- Optimize models to improve efficiency and accuracy.
- Programming Languages:
- Python: Advanced experience in ML model development.
- Machines Learning Frameworks:
- TensorFlow or PyTorch: Model development and training.
- Keras: Rapid prototyping of deep learning models.
- Natural Language Processing (NLP):
- Experience with transformers and pretrained models like BERT or GPT.
- Implementation Tools:
- Docker: Containerization of models for deployment.
- Kubernetes: Container orchestration in production.
- Soft Skills:
- Ability to innovate and propose new technical solutions.
- Strong analytical and problem-solving skills.
- Excellent collaboration and communication skills.
- Abstract Thinking: Advanced problem-solving abilities in complex AI/ML models.
- Problem-Solving: Proven experience in troubleshooting and optimizing AI models.
- Attention to Detail: Focused on the fine-tuning and accuracy of models.
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