Associate Machine Learning Engineer , Plus Company

Company:  pluscompany
Location: New York
Closing Date: 10/11/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job Title: Associate Machine Learning Engineer

Salary: 110k-130k USD

Summary:

The Associate Machine Learning Engineer is responsible for designing, developing, and maintaining machine learning processes to improve the performance of the company's marketing technology platform. The ideal candidate will have a strong foundation in statistics, machine learning and computer science, mathematical optimization, programming languages such as Python, and familiarity with Cloud platforms such as AWS.

Responsibilities:

  • Develop and maintain machine learning systems to improve the accuracy and efficiency of the company's marketing analytics platform
  • Design and develop processes to clean, prepare, and analyze large amounts of data to train and evaluate predictive models
  • Collaborate with engineers and product managers to identify and prioritize development work in an Agile software development environment
  • Provide support to users and stakeholders of the product for successful execution and of machine learning tasks and evaluation of their results
  • Stay up-to-date on the latest advancements in machine learning and artificial intelligence

Requirements:

  • Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field such as Engineering, Economics, Physics, Biology or Psychology, etc. ? Strong programming skills in Python
  • Experience with machine learning libraries such as scikit-learn and TensorFlow ? Familiarity with handling large amounts of data using SQL and Spark ? Strong analytical and problem-solving skills
  • Excellent communication and teamwork skills
  • Business domain appreciation and fascination

Preferred qualifications:

  • Experience with cloud computing platforms such as AWS
  • Experience with other programming languages such as R and C++
  • Distributed Computing experience
  • Familiarity with Agile practices
  • Training in Economics and Econometrics
  • Exposure to the Digital Marketing and Advertising Ecosystem
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