Machine Learning Engineer

Posted 2 months ago


Not disclosed
Time commitment
Full time
Company size
Not disclosed


Machine Learning
Data Science

Job description

A U.S.-based company that offers supply chain management solutions powered by AI to assist businesses lower risk and improve their resilience, is looking for a Machine Learning Engineer. The engineer will be responsible for creating ML apps while leveraging both established and emerging technological platforms. The company's AI-based analytics platform analyzes data to identify trends and forecast future events thereby enabling businesses to be prepared for all eventualities. This is a great opportunity for engineers who are passionate about developing cutting-edge technologies.
Job Responsibilities:
  • Drive ML applications by working with various engineering and data science teams   
  • Develop, release, and keep track of production-ready machine-learning models
  • Working with a multinational and diverse team and being a team player are requirements
  • To verify and automate ML models, create and test application codes
  • Introduce and integrate outside data sources into the statistical model and AI model
  • Possess effective communication skills to interact with business clients from the Fortune 2000 category
Job Requirements:
  • Bachelor’s/Master’s degree in Engineering, Computer/Data Science (or equivalent experience)
  • At least 5+ years of relevant experience as a Machine Learning Engineer or as a Data Scientist
  • Prolific experience working with Neural Networks
  • Extensive experience with AWS, Python, SQL, AWS, Machine Learning, and Times Series
  • Nice to have some prior experience working with image recognition and Natural Language Processing (NLP)
  • Familiarity working with NumPy, Pandas, Scikit-learn, XGBoost, TensorFlow, and Keras
  • Demonstrable experience working with Data Cleaning and feature engineering for model training
  • Fluent in spoken and written English communication
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