Senior Machine Learning Engineer, Python/PySpark Hybrid: Phila., PA 19103 70.00 – 85.00/hr W2 Working with some models already built, this system predicts average job duration of construction jobs Now building a new predictive model based on new data Seeking strong knowledge of common machine learning technologies Python and PySpark required Senior-level experience Responsibility 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. Skills 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. #INDCEI