Key Responsibilities -Study and transform data science prototypesDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsDevelop machine learning applications according to requirementsSelect relevant datasets and data representation methodsRun machine learning tests and experimentsTechnical 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
Skills Required
Data Science, Machine Learning, Data Modeling, Consulting, Software Architecture, Analytical