Human-Machine Teaming Manager
Qualifications
Every career requires an element of study and academic qualification, and there can be several study routes and pathways you can take. In following any academic pathway you will study subjects that contribute to the specialised knowledge required to achieve your career goals. These qualifications provide a future employer with the evidence that you have the desired knowledge, understanding and experience of their industry, so it’s important to consider the various types of qualifications available to you and to understand how they can boost your career and create opportunities for you.
- B.E. Robotics
- B.Tech Artificial Intelligence and Machine Learning
- M.Tech Artificial Intelligence
- M.Sc. Data Science
- Ph.D. Computer Science and Engineering
Tasks
- Develop a task-allocation decision tree by identifying and describing capabilities unique to humans, as well as machines.
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
- Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming
- Produce project outcomes and isolate the issues that need to be resolved, in order to make programmes more effective
- Collaborate with data engineers to build data and model pipelines
- Manage the infrastructure and data pipelines needed to bring code to production
- Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created
- Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
- Use data modelling and evaluation strategy to find patterns and predict unseen instances
- Apply machine learning algorithms and libraries
Progression Routes
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