AI/ML Engineer
Tasks
- Analyze multi domain datasets to identify statistically relevant features
- Implement machine learning algorithms to solve customer challenges
- Review publications to apply cutting edge concepts
- Train and deploy machine learning models using cloud services
- Write technical documentation for code capabilities and user guides
Perks/Benefits
Skills/Tech-stack
AWS | Adversarial Networks | CUDA | Clustering | Computer Vision | Containerization | Data Analysis | Deep Neural Networks | EC2 | Faster-RCNN | GPU Programming | Generative Adversarial Networks | Hugging Face | Keras | Lambda | Langchain | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Model Inference | Natural Language | Natural Language Processing | Neural Networks | OpenAI Gym | Pandas | PyTorch | Python | Recurrent Neural Networks | Reinforcement Learning | Rllib | S3 | Scikit-learn | Stable Baselines | Statistical Analysis | Supervised Learning | TensorFlow | Transformers | Unsupervised Learning | Variational Autoencoders | Virtualization | YOLO
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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