Machine Learning Engineer I

• Implements, refines, and validates machine learning algorithms for products and applications. - Implements data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.
• Trains machine learning models, validates the accuracy of the machine learning models once trained, and deploys validated machine learning models into production.
• Assists in development of proof of concept solutions and contributes to studies to support future product or application development.
• Researches, writes, and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports.
• Tests and evaluates solutions. Completes case studies, testing, and reporting.

• Bachelor's degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience
• Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models.
• Strong programming and software development skills and familiarity with Python, Java or Scala.
• Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker.
• 1-3 years related experience after Bachelors.

VDart