Machine Learning Engineer

Duration: Long Term Contract on C2C Responsibilities Develop, implement and distribute large-scale, scalable web apps for data science and machine learning solutions Maintain and improve data pipeline using machine learning infrastructure and existing machine learning models Data manipulation and statistical modeling Time series forecasting model using ML and deep learning techniques Develop the core functionality of Plotly's enterprise products, with a particular focus on Dash application management capabilities (similar to Heroku) Improve reliability, testing, automation, observability, and performance throughout our stack Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences Experience Required 5+ years of experience as a data scientist, applied scientist, data analyst, machine learning engineer or a related role Bachelor's degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain Proficiency in Python (including packages like numpy, pandas, sklearn, pytorch, tensorflow, matplotlib), SQL and Excel. Experience with Dash Plotly is a plus Experience working with demand forecasting, supply chain optimization, driver analysis, time series analysis, statistical models, regression models and deep learning models Experience working on various steps of developing a data science solution, like problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance Ability to create efficient solutions to complex problems. Strong skills and solid foundation in data-structures, ML algorithms and pipeline development. Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes Expertise in exploratory data analysis, visualization, ETL, hypothesis testing, experimentation, automation, etc.