Machine Learning Engineer

Responsibilities

• Research, design, and build machine learning systems for prediction, recommendation, and automation
• Select appropriate algorithms and fine-tune models for optimal performances
• Evaluate model performance and suggest improvements where appropriate
• Integrate machine learning models into production
• Staying up-to-date with the latest machine learning technologies and methodologies
• Execute critical phases within the ML lifecycle

Requirements

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Machine Learning
• 3 years of work experience as a Machine Learning Engineer or Data Scientist
• Data Science skills:
  • Familiarity with recommendation system algorithms, dimensionality reduction, and clustering
  • Knowledge on AB testing, statistical sampling, and hypothesis testing
• Development skills:
  • Strong proficiency in Python.
  • Familiarity with frameworks such as Tensorflow and Pytorch.
  • Experience building and deploying machine learning models in a production environment
  • Familiarity with model monitoring techniques and tools

Nice to haves

While not required, tell us if you have any of the following.

• Ph.D. in a quantitative field such as Computer Science, Mathematics, Statistics, or Machine Learning
• Hands-on working experience in MLOps frameworks
• Extensive knowledge, and ideally work experience, in recommendation systems, deep learning, and optimization methods and some experience in Natural Language Processing.
• Familiarity with:
  • reinforcement learning
  • image analysis
  • customer experience and customer journey in e-commerce
• Experience in Big Data technologies

Compensation