Machine learning is the study of artificial intelligence (AI) . It provides systems the ability to learn and improve from experience. Machine learning primary role's is to develop computer programs that can access data and use it. The focus is to allow the computers to learn automatically without human interference or assistance and adjust activities accordingly. It all starts with observations , examples, direct experience, or instruction, in order to look for idea in data and make better decisions.
RESPONSIBILITIES
- Work on frameworks
- Train and retrain systems
- Research and apply appropriate ML algorithms and tools
- Select relevant datasets and data representation methods
- Study and transform data science prototypes
- Designing machine learning programs and systems
Run machine learning tests and experiments - Perform statistical analysis
- Fine tuning test results
- Develop machine learning applications according to requirements
- Undertaking machine learning experiments and test
- Developing deep learning systems to various use cases based on the business needs and
Finally implementing suitable AI/ML algorithms
SKILLS
- Deep knowledge of maths, statistics, probability and algorithms
- Ability to develop robust code in Python, R and Java.
- Knowledge of data modelling, software architecture and data structures
Familiarity with machine learning frameworks like Keras or PyTorch and libraries like scikit-learn. - BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
- A demonstrated experience of working in Machine Leaning Jobs
- Excellent communication skills
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