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Back to Information Technology, AI and Data Sciences
Information Technology, AI and Data Sciences

Artificial Intelligence and Data Engineeeing

This role involves designing, developing, and implementing AI and data-driven solutions. Professionals analyze complex datasets, build machine learning models, and create algorithms to extract insights and automate processes.

Career role details and responsibilities

This role involves designing, developing, and implementing AI and data-driven solutions. Professionals analyze complex datasets, build machine learning models, and create algorithms to extract insights and automate processes. 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, developing, and implementing AI and data-driven solutions. Professionals analyze complex datasets, build machine learning models, and create algorithms to extract insights and automate processes. 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 data preprocessing and cleaning, developing predictive models, deploying AI systems, and ensuring the ethical and efficient use of data. They collaborate with stakeholders to understand requirements and deliver impactful data solutions. 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, Data Privacy Engineer, AI Product Manager, Quantum Computing for Data Science.

Pointer: Next Gen career options related to this role

AI Ethics Specialist, MLOps Engineer, Data Privacy Engineer, AI Product Manager, Quantum Computing for Data Science.

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 Technology Delhi New Delhi, Delhi https://home.iitd.ac.in/
Indian Institute of Science Bangalore Bengaluru, Karnataka https://www.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/

Top 5 educational institutes globally

Name of Institute Location Website
Stanford University Stanford, USA https://www.stanford.edu/
Massachusetts Institute of Technology (MIT) Cambridge, USA https://www.mit.edu/
Carnegie Mellon University Pittsburgh, USA https://www.cmu.edu/
University of Oxford Oxford, UK https://www.ox.ac.uk/
National University of Singapore (NUS) Singapore, Singapore https://www.nus.edu.sg/
Refer our tool Unifinder to explore university matching your requirements https://counselnavi.com/uni-finder
Career role Name
Artificial Intelligence and Data Engineeeing
Career Cluster
1.2 Information Technology, AI and Data Sciences
Super Cluster
1. Technology, Engineering & Digital Systems
Industry alignment
Technology, Finance, Healthcare, Retail, E-commerce, and Manufacturing. AI and Data Engineering are crucial for driving innovation, improving customer experiences, and optimizing operations across all sectors.
Work environment
Primarily office-based, with potential for remote or hybrid work. Standard working hours (9-5) are common, though project deadlines may require overtime. Focus on collaboration, problem-solving, and continuous learning.
Opportunity Type
High growth potential with increasing demand for AI and data expertise. Offers significant opportunities for creativity in developing novel solutions. Stable career path with continuous learning and adaptation. Moderate work stress, often project-dependent.
Key skills needed
Programming (Python, R, SQL) - Advanced; Machine Learning & Deep Learning - Advanced; Data Modeling & Architecture - Advanced; Big Data Technologies (Spark, Hadoop) - Intermediate; Statistical Analysis - Advanced; Problem-Solving - Advanced; Communication - Intermediate.
Interest type alignment
Investigative (I) and Realistic (R) aptitudes are highly relevant. Also benefits from Conventional (C) for structured data handling and Enterprising (E) for solution development and stakeholder interaction.
Career growth Path
0-2 years: Junior Data Engineer/AI Engineer; 2-5 years: Data Engineer/AI Engineer; 5-10 years: Senior Data Engineer/AI Engineer, Lead Data Scientist; 10+ years: Data Architect, AI Architect, Head of Data Science, CTO.
Suggested education Pathways 10th standard onwards
  • Bachelor's in Computer Science/Engineering, followed by Master's in AI/Data Science
  • Bachelor's in Mathematics/Statistics, followed by Master's in Data Science/AI
  • Integrated Master's programs in AI or Data Science
Education Stream recommendations
STEM (Science, Technology, Engineering, and Mathematics)
Demand in India
High. India is a major hub for IT services and product development, with a rapidly growing demand for AI and Data Engineering professionals across startups and established companies.
Demand globally
Very High. Global demand for AI and Data Engineering roles continues to surge as organizations worldwide adopt data-driven strategies and AI technologies.
Career & Job Prospects
Abundant opportunities in roles such as Data Engineer, AI Engineer, Machine Learning Engineer, Data Scientist, Big Data Architect, and Business Intelligence Analyst. Related role families include Software Development and Analytics.