1.2 Information Technology, AI and Data Sciences

Artificial Intelligence and Data Engineeeing

This role involves designing, developing, and implementing artificial intelligence and machine learning models. It focuses on building robust data pipelines and algorithms to extract insights and automate processes.

Career role details and responsibilities

This role involves designing, developing, and implementing artificial intelligence and machine learning models. It focuses on building robust data pipelines and algorithms to extract insights and automate processes. Artificial Intelligence and Data Engineeeing sits within the 1.2 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 artificial intelligence and machine learning models. It focuses on building robust data pipelines and algorithms to extract insights and automate processes. Artificial Intelligence and Data Engineeeing sits within the 1.2 Information Technology, AI and Data Sciences career cluster and focuses on applying domain knowledge to practical problems.

Responsibilities

Key responsibilities include collecting and cleaning large datasets, training AI models, validating their performance, and deploying them into production environments. This also involves collaborating with cross-functional teams to understand business needs and translate them into data-driven solutions. Typical responsibilities include understanding user or business needs, applying relevant tools and methods, and coordinating with stakeholders.

Next Gen career options

Emerging roles include MLOps Engineer, AI Ethics Specialist, DataOps Engineer, Generative AI Engineer, and AI Product Manager.

Pointer: Next Gen career options related to this role

Emerging roles include MLOps Engineer, AI Ethics Specialist, DataOps Engineer, Generative AI Engineer, and AI Product Manager.

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/
IIT Hyderabad Sangareddy, Telangana https://www.iith.ac.in/
University of Delhi Delhi, Delhi https://www.du.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, United Kingdom https://www.ox.ac.uk/
University of Toronto Toronto, Canada https://www.utoronto.ca/
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
AI and Data Engineering roles are crucial across all sectors, including technology (software development, cloud services), finance (fraud detection, algorithmic trading), healthcare (diagnostics, drug discovery), e-commerce (recommendation systems, personalized marketing), and manufacturing (predictive maintenance, quality control).
Work environment
Typically an indoor office environment, often hybrid or remote. Standard working hours (9 AM to 5 PM) with potential for overtime during critical project phases. Work-life balance can be demanding due to project deadlines, but flexibility in work mode is increasing.
Opportunity Type
Offers high growth opportunities driven by the rapidly expanding field of AI and Big Data. While work can be intellectually demanding and sometimes stressful due to complex problem-solving and tight deadlines, it provides significant scope for creativity in developing innovative solutions. Job stability is very high due to consistent demand.
Key skills needed
Programming (Python, R) - Advanced; Data Modeling and Warehousing - Advanced; Machine Learning Algorithms - Advanced; Big Data Technologies (Spark, Hadoop) - Proficient; Cloud Platforms (AWS, Azure, GCP) - Proficient; Data Visualization - Proficient; Problem-Solving - Advanced; Communication - Proficient.
Interest type alignment
Strong alignment with Investigative (I) and Realistic (R) interest types. Aptitudes in logical reasoning, analytical thinking, mathematical ability, and technical proficiency are essential.
Career growth Path
0-3 Years: Junior Data Engineer/AI Engineer; 3-7 Years: Data Engineer/AI Engineer; 7-12 Years: Senior Data Engineer/AI Engineer/ML Lead; 12+ Years: Data Architect/AI Architect/Head of Data Science.
Suggested education Pathways 10th standard onwards
1. Bachelor's degree in Computer Science, Data Science, AI, or related field. 2. Master's degree in Data Science, Machine Learning, or AI. 3. Specialized certifications in Cloud Data Engineering or AI/ML platforms.
Education Stream recommendations
Information Technology, AI and Data Sciences
Demand in India
High demand across various industries in India, with a significant increase in job openings for AI and Data Engineers in metropolitan cities and tech hubs.
Demand globally
Very high global demand, with a continuous need for skilled professionals in North America, Europe, and Asia-Pacific regions.
Career & Job Prospects
Abundant job opportunities exist in roles such as Data Engineer, AI Engineer, Machine Learning Engineer, Data Scientist, and Big Data Developer. Related role families include data analytics, software development, and business intelligence.