Machine Learning Engineer

• Work closely with e-commerce experts, designing and developing efficient ML models
• Determine and capture features best suited to achieve accurate predictions, including but not limited to indicators of revenue, price, and conversation rates
• Attack complex business questions with data and dive below the surface to identify the root cause.
• Develop and validate machine learning models, research relevant statistical methods, and perform data analysis
• Continuously deliver models into production to test
• Provide recommendations for operationalizing machine learning models into production

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a software developer
• 3-5 years working professionally in the machine learning and data analytics field
• Proficient working with Python and related technologies like pandas, NumPy, scikit learn, etc.
• Experience aggregating data, exploring data, building and validating predictive models
• Experience deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization
• Proven experience taking machine learning algorithms from R&D to product, especially using AWS cloud services
• Proficient with SQL and data wrangling
• Real-world experience as an ML engineer or data scientist
• Sound expertise in building and deploying ML models or developing deep learning models
• Proficiency in at least 3 of the 5 key machine learning algorithms like Ridge Regression and Lasso, random forests, linear optimization models, sensitivity analysis, and boosting model
• Deep understanding of the different parts of the data pipeline
• Experienced with plotting in Python (Matplotlib, etc.)
• Comfortable owning the entire lifecycle from beginning to end
• Dashboarding experience is nice to have
• Some exposure to data analysis, data engineering, analytics engineering, and data science