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Senior Machine Learning Engineer Role
We're seeking a seasoned professional to lead our machine learning initiatives. As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge models that drive business growth.
Responsibilities:- Design and implement advanced machine learning solutions using deep learning architectures like CNNs and ViTs.
- Develop and customize deep learning models to meet specific business needs.
- Utilize pre-trained models and adapt them to task-specific requirements.
- Perform data analysis, preprocessing, and feature engineering to optimize model performance.
- Evaluate models using relevant metrics and communicate results effectively.
- Deploy models into production environments and ensure seamless integration.
- Collaborate with cross-functional teams and mentor junior engineers to share knowledge and best practices.
- 5 years of experience as a Machine Learning Engineer with expertise in deep learning.
- Strong understanding of statistical ML concepts, including optimization methods and mathematization of problems.
- Hands-on experience with PyTorch or TensorFlow and ability to implement neural networks from scratch.
- Knowledge of transformers, attention mechanisms, and large language model internals.
- Experience in processing large datasets with hardware constraints and navigating biases in datasets.
- Deep understanding of underlying mathematics and ability to apply it to complex problems.
- Understanding of CNN and ViT architectures in relation to computer vision and proficiency in Python and ML libraries.
- Ability to analyze data, handle common ML challenges, and build effective pipelines.
- Strong communication and problem-solving skills with the ability to work independently and collaboratively.
- Familiarity with cloud-based ML/NLP services and experience with distributed training or model optimization.
- Contributions to research or open-source ML projects and willingness to learn and adapt.
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