Democratizing Recruitment
Job Description

AI (Artificial Intelligence) Engineer

Intelligence and Data
Department Mission
  • To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
  • Your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
Authority
  • Develop models and train them,
  • Research on new technologies,
  • Participate in recruitment process.
Responsibility
  • Research and transform data science prototypes,
  • Research, test and implement appropriate ML algorithms and tools,
  • Develop machine learning applications according to requirements,
  • Train and retrain models,
  • Select appropriate datasets and data representation methods,
  • Run machine learning tests,
  • Perform statistical analysis and fine-tuning using test results,
  • Extend existing ML libraries and frameworks.
Requirements
  • Academic background in AI/ML,
  • 3+ years of experience in ML / AI Development or related experience,
  • Solid expertise in using ML tools such as Caffe, pyTorch, TensorFlow, scikit-learn, nltk and etc,
  • Strong knowledge of programming language, such as Python preferably, C/C++, C#, or Objective-C.
  • Solid understanding of data structures, data modeling, and software architecture,
  • Deep knowledge of mathematics, probability, statistics and algorithms,
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn),
  • Agility to build prototypes around new ideas quickly,
  • Propose creative approaches to solve complex problems.
Benefits

It's always a good idea to include the benefits of the job the company will provide such as:

  • Flexible hours to give you freedom and increase productivity
  • Life insurance for you and your family members
  • Work remotely in the comfort of your home
  • Free Gym membership so you can stay in shape
  • Fun and energetic weekly team bonding events
  • etc.

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