✨ About The Role
- The role involves collaborating with other engineers to develop data pipelines and architectures for data collection, storage, processing, and analysis.
- The candidate will be responsible for writing code for model training, testing, and deployment.
- Monitoring and troubleshooting machine learning models to ensure accuracy and performance is a key responsibility.
- The job requires working with large-scale data sets and managing data flow between systems.
- The candidate will communicate findings through quantitative data analysis and qualitative visuals and insights.
âš¡ Requirements
- The ideal candidate has a Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field.
- They should have over three years of experience in machine learning engineering or a related field.
- A strong understanding of deep neural networks, particularly CNNs and transformers, is essential.
- Proficiency in at least one deep learning framework, such as PyTorch or TensorFlow, is required.
- The candidate should possess strong coding skills in procedural and data-analytics oriented languages, particularly Python.