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Machine Learning Developer

Plano, TX

Opportunity Details

Full Time Application Development

Plano, TX
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Job Description: 6 Month+ Contract

Improving is looking for a Senior Machine Learning (ML) Engineer who is well-versed in Machine Learning to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation of products. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly-energized, fast-paced, innovative, and collaborative startup environment.

Responsibilities:

  • Design and develop solutions using Machine Learning and other advanced AI technologies to solve a variety of problems
  • Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations
  • Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users
  • Be hands-on where required and lead by following best practices in development and CI/CD methods
  • Own delivery of features from top to bottom, from concept to code to production
  • Develop tools and libraries that will enable rapid and scalable development in the future

Qualifications:

5+ years of experience in software development for high-tech products or services

2+ years of hands-on production experience delivering products or solutions that utilized Machine Learning, Natural Language Processing or other forms of AI solutions like machine vision

Highly skilled in Python (NumPy) and preferably in one or more programming languages like C++, Java, Go, etc

Strong hands-on experience in one or more of the Machine Learning tools like TensorFlow, PyTorch, Keras, Theano, or Caffe and have solved several real-life problems using these

Experience in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment

Experience in designing and implementing Machine Learning pipelines in production environments Experience in one or more NLP libraries (i.e. spaCy, NLTK, etc) is a plus

Experience with handling Big Data (Spark, HBase, Kafka, etc) is a plus

Experience implementing solutions in a cloud environment (AWS or Azure) is a plus

Experience working with data science in automotive telematics data and video is a plus

Experience working in Agile Scrum environments is a plus

You are confident in expressing your point of view from a position of knowledge and experience. You are also receptive to feedback and open to revising your plans when appropriate

B.S. Computer Science preferred

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― Lori Davis, Technical Recruiter

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