- Key Responsibilities -
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select relevant datasets and data representation methods
- Run machine learning tests and experiments
Technical Requirements -
- Knowledge in Machine Learning Engineer or similar role
- Knowledge of AWS or Azure
- Understanding of data structures, data modeling, and software architecture
- Deep knowledge of maths, probability, statistics, and algorithms
- Ability to write robust code in Python, Java, and R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Professional Attributes -
- Excellent communication skills
- Attention to detail
- Analytical mind and Problem Solving Aptitude
- Strong Organizational skills
- Visual Thinking
