- Qualifications:Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, or a related field.
- 2+ years of experience in machine learning, data analysis, or a related field.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of statistical analysis, data mining, and predictive modeling techniques.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Knowledge of databases and data processing technologies (e.g., SQL, Hadoop, Spark) is a plus.
- Excellent problem-solving skills and ability to work independently and in a team.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ML models.
- Knowledge of natural language processing (NLP) or computer vision techniques.
- Understanding of software development practices, including version control and agile methodologies.
