- Master of Science in a relevant field such as Computer Science, Engineering, or Data Science.
- 1-3 years of experience applying machine learning techniques to solve complex data problems.
- Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods.
- Experience with data preprocessing, feature engineering, and data visualization techniques.
- Proficiency in Python programming, and experience working with big data tools such as Spark.
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Strong experience with agile development methodologies and version control tools such as Git.
Preferred Technical Skills:
- Experience working with natural language processing (NLP) techniques.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of cloud computing platforms such as AWS, GCP, or Azure.
