Quick Overview
Salary
$130k - $150k/yr
Seniority
Mid Senior
Work mode
Hybrid
Location
West Chester, PA, United States
Posted
21 hours ago
DockerScalaMachine LearningConfluenceData PipelineDeep LearningJavaKafkaPython
Job Description
Machine Learning Engineer
West Chester, PA 19380 (hybrid)
Pay: $130,000-150,000
Responsibility
- Implements, refines, and validates machine learning algorithms for products and applications. - Designs and develops 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.
– Designs 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.
– Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.
- Designs proof of concept solutions and contributes to studies to support future product or application development.
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.
– 3-5 years related experience after Bachelors, or a recent Master’s degree desired.
#ZR
#INDGEN
West Chester, PA 19380 (hybrid)
Pay: $130,000-150,000
Responsibility
- Implements, refines, and validates machine learning algorithms for products and applications. - Designs and develops 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.
– Designs 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.
– Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.
- Designs proof of concept solutions and contributes to studies to support future product or application development.
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.
– 3-5 years related experience after Bachelors, or a recent Master’s degree desired.
#ZR
#INDGEN
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