Artificial Intelligence and Data Engineeeing
This role involves designing, building, and maintaining systems that collect, process, and analyze large datasets. Professionals in this field leverage AI and machine learning techniques to extract meaningful insights, build predictive models, and develop intelligent applications.
Career role details and responsibilities
This role involves designing, building, and maintaining systems that collect, process, and analyze large datasets. Professionals in this field leverage AI and machine learning techniques to extract meaningful insights, build predictive models, and develop intelligent applications. Artificial Intelligence and Data Engineeeing sits within the Information Technology, AI and Data Sciences career cluster and focuses on applying domain knowledge to practical problems.
Role details
This role involves designing, building, and maintaining systems that collect, process, and analyze large datasets. Professionals in this field leverage AI and machine learning techniques to extract meaningful insights, build predictive models, and develop intelligent applications. Artificial Intelligence and Data Engineeeing sits within the Information Technology, AI and Data Sciences career cluster and focuses on applying domain knowledge to practical problems.
Responsibilities
Key responsibilities include developing data pipelines, implementing machine learning algorithms, ensuring data quality and integrity, and collaborating with cross-functional teams to deploy AI-driven solutions. They also optimize data models and systems for performance and scalability. Typical responsibilities include understanding user or business needs, applying relevant tools and methods, and coordinating with stakeholders.
Next Gen career options
AI Ethics Specialist, MLOps Engineer, DataOps Engineer, AI/ML Product Manager, Quantum Machine Learning Scientist.
Pointer: Next Gen career options related to this role
AI Ethics Specialist, MLOps Engineer, DataOps Engineer, AI/ML Product Manager, Quantum Machine Learning Scientist.
Educational institutes
Top 5 educational institutes in India
| Name of Institute | Location | Website |
|---|---|---|
| Indian Institute of Technology Bombay | Mumbai, Maharashtra | https://www.iitb.ac.in/ |
| Indian Institute of Science Bangalore | Bengaluru, Karnataka | https://iisc.ac.in/ |
| Indian Institute of Technology Madras | Chennai, Tamil Nadu | https://www.iitm.ac.in/ |
| International Institute of Information Technology Hyderabad | Hyderabad, Telangana | https://www.iiit.ac.in/ |
| Joint Entrance Examination (JEE) Advanced - for admission to IITs | Across India | https://jeeadv.ac.in/ |
Top 5 educational institutes globally
| Name of Institute | Location | Website |
|---|---|---|
| Massachusetts Institute of Technology (MIT) | Cambridge, USA | https://www.mit.edu/ |
| Stanford University | Stanford, USA | https://www.stanford.edu/ |
| Carnegie Mellon University | Pittsburgh, USA | https://www.cmu.edu/ |
| University of Oxford | Oxford, United Kingdom | https://www.ox.ac.uk/ |
| National University of Singapore (NUS) | Singapore, Singapore | https://www.nus.edu.sg/ |
- Bachelor's in Computer Science/Data Science/AI, followed by a Master's in a specialized AI or Data Science field.
- Integrated Master's programs in Data Science or AI.
- Bachelor's in a related STEM field with strong programming skills, supplemented by relevant certifications and bootcamps in AI and Data Engineering.