By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.
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
