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 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.
- 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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