Machine Learning Engineer
Job Description
- 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.
- 1-3 years related experience after Bachelors.
GCS is acting as an Employment Agency in relation to this vacancy.
Machine Learning Engineer
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