Your Tasks

• Model Development: You will develop and optimize machine learning models to solve specific business problems (e.g., email classification, predictive maintenance, leakage detection, fraud detection).

• MLOps: You will oversee the entire lifecycle of machine learning projects—from data acquisition and preparation to modeling, implementation, and monitoring.

• Data Analysis: You will analyze large datasets, identify patterns and trends, and derive actionable insights, which you will visualize as easy-to-understand reports.

• Optimization: You will evaluate and optimize existing models in terms of performance, scalability, accuracy, and security.

• Teamwork: You will collaborate closely with data engineers, software developers, and other stakeholders to develop and scale data-driven solutions.

• Diverse Opportunities: You will have the chance to expand your knowledge and contribute your expertise to projects in various areas. For example, if you're interested in software development or data engineering, you can also get involved in those areas and grow your skills.