Machine Learning Engineer

Opening 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

• Worked on end-to-end software delivery project as a software developer with hands-on experience in analysis, design, coding, and implementation of complex, custom-built 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 proficiently 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

• Ability to support ideation to deployment and hyper care of solutions and products in a fast-changing environment.

Preferred Qualifications

• Fluency in English.

• Undergraduate in the sciences or engineering or arts, with training certifications in software development.

• Undergraduate or master’s in computer science or related field

• Founded in 2004 with both loyal long-term and start-up partners
• Recognized as an Inc 5000 fastest growing small business for 2nd year in a row
• Experienced team of 80+ members to both learn from and mentor
• Partnering with enterprise R&D groups, startups, and venture capital firms
• Wide range of technologies across industries to build up the skills your interested in
• Small company culture of getting work done versus heavy process and meetings