About the role As a Machine Learning Engineer, you will Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Optimize and automate model training and testing for experimentation, development, and production. Combine several different machine learning algorithms with domain knowledge into sophisticated ML workflows. Create web services/APIs for serving ML/AI model results. Who you are You have experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and are capable of planning out scalable, maintainable data pipelines. B.S. or M.S. in Computer Science, Electrical Engineering, or related fields 3
years of experience in Cloud/AWS Engineering/Development. Programming experience with one modern language such as Java, C++, or C# including object-oriented design. 2
years of work in Machine Learning or Artificial Intelligence in an AWS environment. Experience with working in at least one of Python or R to conduct detailed data analysis, visualization, and modeling. Experience with deep learning methodologies in computer vision (e.g. recognition, detection, segmentation) and NLP (e.g. classification, NER, etc.). 1
years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. Able to work both independently on ambiguous problems and in highly collaborative team environments. You are a strong team player, with a can-do attitude.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications
