Job Posting for Machine Learning Engineer at Idea Evolver
Company Overview
Idea Evolver specializes in audience research and consumer insights as well as designing and engineering Software as a Medical Device applications.
Our primary verticals are healthcare, food, and retail. Our client list includes American Express, Dannon, AstraZeneca, United Therapeutics, Blue Origin, and K. Hovnanian Homes.
Position Overview
We are looking for a highly skilled Machine Learning Engineer to join as a leader on our Product team. This person will collaborate closely with our Executive leadership team, data scientists, and software engineers.
Responsibilities
Support the creation of our machine learning workflow processes, including data collection and preprocessing, model design and training, and deployment of models into production.
Serve as the subject matter expert and the key driver on machine learning and its application to SaMD products.
Work with product developers (tech regulatory, data scientists, engineers) on incorporating machine learning algorithms into development and data processing pipelines.
Collaborate with cross-functional teams, including product managers and marketers, to understand business problems and develop comprehensive machine learning solutions.
Continuously monitor the performance of machine learning implementations and identify opportunities for improvement.
Stay current with the latest machine learning techniques and technologies to continuously improve the quality of our products and knowledge of our team.
Qualifications
Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics), Masters degree preferred
3 years of industry experience designing, developing, and deploying machine learning models includingclassification, clustering, prediction, deep learning, etc.
Experience with cloud-based ecosystems (GCP preferred)
Experience with Python and relevant libraries (NumPy, Pandas, Scikit-learn)
Experience using common machine learning and deep learning libraries and techniques, including TensorFlow
Experience with, or willingness to learn Julia/Flux
Experience with Git in a team environment
Experience with data visualization tools such as Looker, Tableau, or Power BI
General knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
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