Information Technology

AI/ML Engineer

Develops, implements, and deploys machine learning models and artificial intelligence solutions.

Science

Career role details and responsibilities

Develops, implements, and deploys machine learning models and artificial intelligence solutions. AI/ML Engineer sits within the Information Technology career cluster and focuses on applying domain knowledge to practical problems. Students exploring this role should understand the work context, skill expectations, education pathways, and long-term growth opportunities before shortlisting it.

Role details

Develops, implements, and deploys machine learning models and artificial intelligence solutions. AI/ML Engineer sits within the Information Technology career cluster and focuses on applying domain knowledge to practical problems. Students exploring this role should understand the work context, skill expectations, education pathways, and long-term growth opportunities before shortlisting it.

Responsibilities

Collecting and preparing data for ML models; designing and training ML algorithms; evaluating model performance; deploying models into production environments. Typical responsibilities include understanding user or business needs, applying relevant tools and methods, and coordinating with stakeholders. The role also requires continuous learning, quality improvement, and adapting to changes in technology, industry practices, and market demand.

Next Gen career options

Explore emerging options connected with AI-enabled workflows, automation, data-driven decision making, digital platforms, sustainability, and interdisciplinary specialization for AI/ML Engineer.

Pointer: Next Gen career options related to this role

Explore emerging options connected with AI-enabled workflows, automation, data-driven decision making, digital platforms, sustainability, and interdisciplinary specialization for AI/ML Engineer.

Educational institutes

Top 5 educational institutes in India

Name of Institute Location Website
Recommended India institute option 1 for AI/ML Engineer India https://counselnavi.com/uni-finder
Recommended India institute option 2 for AI/ML Engineer India https://counselnavi.com/uni-finder
Recommended India institute option 3 for AI/ML Engineer India https://counselnavi.com/uni-finder
Recommended India institute option 4 for AI/ML Engineer India https://counselnavi.com/uni-finder
Recommended India institute option 5 for AI/ML Engineer India https://counselnavi.com/uni-finder

Top 5 educational institutes globally

Name of Institute Location Website
Recommended Global institute option 1 for AI/ML Engineer Global https://counselnavi.com/uni-finder
Recommended Global institute option 2 for AI/ML Engineer Global https://counselnavi.com/uni-finder
Recommended Global institute option 3 for AI/ML Engineer Global https://counselnavi.com/uni-finder
Recommended Global institute option 4 for AI/ML Engineer Global https://counselnavi.com/uni-finder
Recommended Global institute option 5 for AI/ML Engineer Global https://counselnavi.com/uni-finder
Refer our tool Unifinder to explore university matching your requirements https://counselnavi.com/uni-finder
Career role Name
AI/ML Engineer
Career Cluster
Information Technology
Industry alignment
Technology, Healthcare, Finance, Automotive, E-commerce - sectors leveraging AI for insights and automation.
Work environment
Collaborative and research-oriented; can be deadline-driven for project milestones; indoor, office or remote.
Opportunity Type
Extremely high growth potential; high work stress due to rapid advancements and complexity; high creativity opportunity; very stable career.
Key skills needed
Machine learning algorithms (advanced), deep learning frameworks (TensorFlow, PyTorch) (advanced), Python (advanced), data science (advanced), statistics (advanced).
Interest type alignment
Investigative (research and analysis), Realistic (building models), Conventional (evaluating results). Aptitude for advanced mathematics, statistics, and programming.
Career growth Path
Junior ML Engineer (3-5 yrs) -> ML Engineer (5-10 yrs) -> Senior ML Engineer (10-15 yrs) -> AI Architect/Research Scientist (15+ yrs).
Suggested education Pathways 10th standard onwards
1. Master's/Ph.D. in Computer Science/AI/ML. 2. Bachelor's in Computer Science with strong ML focus and practical projects. 3. Online courses and certifications in AI/ML.
Education Stream recommendations
Science
Demand in India
High and rapidly growing. Driven by innovation and automation needs.
Demand globally
Very High. Global demand driven by AI advancements and applications.
Career & Job Prospects
Data Scientist, AI Researcher, Computer Vision Engineer, Natural Language Processing (NLP) Engineer.