hybrid
Deep Learning Engineer
Machine Learning Engineer
Deep Learning Engineer to develop and deploy advanced neural network models for computer vision and NLP applications using Python and frameworks like TensorFlow/PyTorch.
About the role
Key Responsibilities
- Design, develop, and deploy deep learning models for computer vision and NLP applications
- Optimize neural network architectures for performance and scalability
- Collaborate with cross-functional teams to integrate AI solutions into products
- Research and implement state-of-the-art techniques in machine learning
- Write clean, maintainable, and efficient code in Python
- Evaluate model performance and iterate based on feedback
Requirements
- 3+ years of experience in deep learning or machine learning
- Proficiency in Python and deep learning frameworks (TensorFlow/PyTorch)
- Strong background in neural networks and computer vision
- Experience with data preprocessing and model deployment
- Familiarity with cloud platforms (AWS/GCP) and MLOps tools
Skills
pythondeep learningtensorflowpytorchneural networkscomputer vision