Description
You will research and develop novel machine learning solutions and manage the end-to-end ML lifecycle.
Responsibilities
- Design experiments and research novel solutions beyond established literature.
- Execute data mining processes including preparation, transformation, variable reduction, and post-mortem analysis.
- Develop, release, and maintain machine learning projects using software engineering best practices like unit-testing and logging.
- Apply statistical methods and modeling techniques to solve complex problems.
Required Skills
- 5+ years of experience with Python, Java, C++, C#, Scala, SAS, or MATLAB.
- Proficiency in SQL.
- 5+ years of experience in AI and machine learning disciplines, including NLP, deep learning, and computer vision.
- Experience with statistical methods including ANOVA, t-tests, and outlier detection.
- Experience with modeling techniques such as neural networks, decision trees, and ensemble methods.
- Experience with TensorFlow or PyTorch.
- Experience with big-data frameworks including Hadoop, Spark, Hive, or Pig.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Master's degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- Published articles in peer-reviewed journals or filed patents in AI/ML fields.
Preferred Skills
- Ph.D. in a quantitative field or currently enrolled in a Ph.D. program.
- Experience in large corporations or consulting focusing on marketing strategies and CRM.