Machine Learning Engineer

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, 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