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To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
An expert accountable for dealing with neural networks, algorithms and related drills to resolve issues in technology or business. To play a crucial role in bridging the gap between actual field and software developers, employees or even scientists.
Authority
Research and test new technologies,
Collaborating with other stakeholders,
Monitoring and Oversee company's data.
Responsibility
Perform statistical analysis,
Fine-tuning results of the test,
Train and also retrain methods,
Focus on frameworks,
Undertaking machine mastering experiments and test,
Developing machine learning programs,
Developing deep learning systems to different use cases depending on the company needs and, implement suited AI/ML algorithms.
Requirements
Ability to write code in Java and Python,
Knowledge on basics of math and probability,
Good understanding and strong knowledge in algorithms and statistics,
Appreciation of data modelling, software architecture and data structures and past experience of working in frameworks in last jobs or internships,
Reasonable social skills,
Team worker,
Degree in Computer Science, Mathematics or similar courses or fields is beneficial,
Showed experience of working in Machine Leaning Jobs before is an added advantage.
Benefits
It's always a good idea to include the benefits of the job the company will provide such as:
Flexible hours to give you freedom and increase productivity,
