Senior Full Stack Engineer (Qondo)

Artificial intelligence will define the financial services sector within the next five years, but incumbent institutions cannot adopt artificial intelligence due to two core problems: access to quality training data, and access to high - caliber talent. Neo is building the only full-stack artificial intelligence platform focused on the financial services industry. With a first client already in place, Neo is ready to redefine how banks think about AI
We’re entering the build phase of our start-up journey and we are looking for a Full Stack Software Developer. You will be the first full-stack engineer and will have a critical role in helping to develop overall software engineering infrastructure and best practices for an always-on deployment environment and work within the Neo team to build a SAAS platform product from the ground up.

Responsibilities

  • Design and build a high-performance web application based on restful APIs
  • Work with UI designers to implement front-end technologies
  • Architect and implement software libraries
  • Develop software devops engineering processes (design, build, quality, maintenance)
  • Note: Responsibilities will grow and evolve based on your interests, capabilities and client needs.

Experience - Required Skills

  • Bachelor’s degree in Computer Science, Engineering, or related technical field
  • 5+ years experience with Python web server frameworks (Django or Flask) 
  • 5+ years experience with React JS and JavaScript  (preferably NodeJS, ExpressJS)
  • Demonstrable experience of developing professional software from concept to distribution
  • Strong knowledge and experience of developing with cloud  services (AWS, GCP, or Azure)
  • Passion for engineering products, technology and AI

Experience - Preferred Skills

  • Experience with Git version control and Docker
  • Experience with SQL and NoSQL databases and data modeling
  • Experience with AI tools, libraries, and languages (TensorFlow, PyTorch, Spark, SageMaker, Scikit-learn, NLP, spaCy, etc)
  • Good understanding of how to leverage available cloud base services and existing machine learning platforms such as AWS SageMaker using Tensorflow or Google AutoML to avoid reinventing the wheel.
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