Machine Learning Engineer
3 weeks ago
RESPONSIBILITIES
• Build new machine learning applications in the areas of Computer Vision, Natural Language Processing, and Information Search and Retrieval.
• Take development projects to production and implement CI/CD pipelines. This includes - Automated build processes, environment setups, testing scripts, deployments, and production operational metrics/debugging information.
• Ensure best practices for data security and governance on the team.
• Work across teams to bring continuous improvement to engineering processes and tools.
• Ensure operational scalability.
BASIC QUALIFICATIONS:
• Ms or Ph.D degree in Machine Learning or Computer Science
• At least 2 years of professional experience or phd in a relevant field: machine learning, deep learning, knowledge bases, recommendation systems, information retrieval, natural language understanding, robotics, statistics, computer vision, etc.
• Fundamentals in problem solving, computer science, algorithm design, complexity analysis, mathematics and statistics.
• Proficiency in at least one major programming language (Java, C++, Python, Scala or similar). The more the merrier.
• Good verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
PREFERRED QUALIFICATIONS:
• Practical experience in building machine learning applications from design to production.
• Practical experience in building and evaluating models using major libraries such as MxNet, TensorFlow or Scikit-Learn.
• Experience in scripting languages is a plus.
• Experience working in text processing, data mining, and/or data visualization is a plus.
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