• 1-2 years as data scientist or machine learning engineer. Working knowledge and experience with big data.
• Familiar with machine learning algorithm and capable to use proper metrics to evaluate model results.
• Proficiency developing machine learning solutions using Python and its associated ecosystem ?€” numpy, pandas, TensorFlow, PyTorch, etc.
• Experience working with large-scale time series data processing and image recognition pipelines is a good plus.
• Deliver high quality analytic insights from a large data warehouse, especially time series data.
• Implement Deep Learning algorithms in time series data and computer vision.
• Experience working in a cloud-native environment such as AWS.
• Demonstrated abilities in problem formulation, algorithm design, and model building, including statistical analysis and evaluation.
• Compare the results of predicted values and actual values, based on historical data availability.
• Drive development of data products in collaboration with data scientists and analysts. Automate reporting where possible to make team more efficient.
• Maintain software traceability through GitHub
Education:
MS or Ph.D. in Computer Science, Software Engineer, Data Science, Machine Learning, Statistics, Operations Research or related field.
