Job Purpose:

Crowd Analyzer is looking for a Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Crowd Analyzer’s machine learning models and algorithms.

Roles & Responsibilities:

• Study and transform data science prototypes into production using the appropriate tools.
• Run machine learning tests and experiments, and document findings and results.
• Train, monitor and scale machine learning systems and models as needed.
• Construct optimized data and machine learning pipelines.

Technical Skills:

• Minimum of two years of experience in a similar role.
• Strong analytical and problem-solving skills.
• Solid Math and Computer Science knowledge, with a deep understanding of Probability, Statistics and Linear Algebra.
• In-depth knowledge of machine learning frameworks, like Tensorflow and PyTorch.
• Ability to write production ready code in python.
• Thorough understanding of NLP techniques for text representation and modeling.
• Familiarity with data structures, data modeling, and software architecture.
• Eager to learn and to transfer knowledge.
• Knowledge of Node.js is a plus.