Warecorp is seeking Senior Technologists to lead our engineering teams!  You'd be responsible for 1-3 project teams to make sure that the schedule, technology, and team is coordinated.

We are a team of Sr Software Engineers, Software Architects and CTO folk who help a broad variety of clients with product development, innovation, prototyping, API development and enterprise application development. We work with a wide swath of clouds, platforms & frameworks: Azure, AWS, and Google Cloud, Kubernetes, Docker, .NET (C#, core, and VB), Java, NodeJS, PHP, Erlang/Elixir, GraphQL, REST, SOAP, ReactJS, standard JavaScript, JQuery, RabbitMQ, MongoDB, MySQL, MSSQL, Redis, and a lot more.

Flexible Hours: 10-40/week. 100% remote.

Create and lead our AI/ML group.

Join the Warecorp development team!  Warecorp has been named in the Inc 5000 fastest growing small businesses for the 2nd year in a row.  We're adding team members to both our North American team as well as our European team.  This position is for a machine learning engineer familiar with text mining, text classification, and deep learning theory from a development and implementation perspective. This is a full-time or contract position.

Minimum Required Qualifications

• Hands-on experience in analysis, design, coding, and implementation of complex, custom-built software applications.
  
• Comfortable with making calls to APIs, writing basic SQL, and have an understanding of what NoSQL is.
• Knowledge of and exposure to software best practices like Test-Driven Development (TDD), SOLID and Continuous Integration (CI)
• Developing and maintaining Bots, framework like Microsoft, AWS or telegram Knowledge of multiple back-end languages ( Java, Python)
• Familiarity with databases (e.g. MySQL, preferred MongoDB or DynamoDB), web servers (e.g. Apache)
• Good Object-Oriented skills, including knowledge of design patterns
• Experience working with, or an interest in Agile Methodologies, such as Extreme Programming (XP) and Scrum Knowledge in Software Infrastructure (DevOps).
• Reading about infrastructure as code will be beneficial.
• Overview of AWS API and Docker and Kubernetes AWS Sage maker
• Proficiency with text mining and text classification techniques using classic ML Knowledge of machine learning theory and frameworks like sickie-learn / pandas
• Exposure to Deep Learning theory and environments like Theano, TensorFlow, Torch or Caffe Proficient of NLP fundamentals and libraries like flair, NLTK, Stanford NLP or RASA, any one or more
• Experience with Python, open source software, and cloud services on AWS