Machine Learning Engineer

Responsibilities

• Research, design, and build machine learning systems for recommendation systems
• Select appropriate algorithms and fine-tune models for optimal performance
• 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

• 5+ years of work experience as a Machine Learning Engineer or Data Scientist
• A minimum of 2 years in a leadership role.
• Solid Machine Learning background and deep understanding of certain domain of machine learning techniques, especially in recommendation systems
• Machine Learning skills:
  • Familiarity with recommendation system and ranking algorithms
  • Knowledge on A/B 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
• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Machine Learning

Nice to haves

While not specifically 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:
  • LLM
  • generative AI(esp. RAG)
  • customer experience and customer journey in e-commerce
• Experience in Big Data technologies

Compensation