Online MCA in Artificial Intelligence

Designs IT solutions for business

Advises on tech strategy and implementation

Builds applications and systems

Manages data storage and security

Creates websites and web apps

AI Engineers design and implement AI-based solutions like chatbots, recommendation systems, and automation tools.

ML engineers create algorithms that allow computers to learn from data and make decisions.

Data Scientists combine AI, ML, and analytics to solve business problems using data.

Deep Learning Engineers work on advanced AI tasks like face recognition, speech-to-text, object detection, etc.

More research oriented design new alogrithim ,explore advanced topics like reinforcement learning

Build ,train,and machine learning model,work on data preprocessing ,features,engineering,an model optiization

Focus on natural languages processing tasks,

An AI/ML Engineer job description involves developing, testing, and deploying AI and machine learning models into production systems that are high-quality and scalable. Key responsibilities include designing and implementing algorithms, cleaning and preprocessing data, optimizing models, and collaborating with cross-functional teams to integrate AI solutions into applications. Essential skills often include proficiency in programming languages like Python, strong software engineering fundamentals, experience with ML frameworks and libraries, and knowledge of cloud platforms and MLOps practices.

An AI research scientist conducts original research to develop new theories, algorithms, and techniques to advance artificial intelligence. They design and run experiments, analyze data, and publish findings to push the boundaries of AI capabilities in areas like machine learning, natural language processing, and computer vision. Their work is foundational, focusing on innovation rather than the immediate implementation of existing technologies, which is typically the role of an AI engineer.

Handles complete web application development (front-end and back-end)

Builds dynamic web applications

Develops AI applications such as chatbots, recommendation systems, computer vision, and NLP-based solutions.

A data engineer job description involves designing, building, and maintaining scalable data systems like databases and pipelines to collect, store, and process raw data. Key responsibilities include ensuring data quality and security, collaborating with data scientists and analysts, and transforming data into a usable format for analytics and business decisions. Common technical skills required are proficiency in SQL, programming languages like Python, and big data technologies such as Hadoop and Spark.

A mobile app developer designs, develops, tests, and maintains applications for mobile devices like smartphones and tablets, working on platforms such as iOS and Android. Key responsibilities include writing clean code, optimizing for performance, collaborating with designers and other teams, and releasing new features and updates. They also fix bugs, ensure security, and stay current with the latest mobile technology trends.

A computer programmer writes, tests, debugs, and maintains code to create software and applications. They collaborate with designers and engineers to translate technical requirements into functional instructions, and their duties include fixing errors, updating existing programs, and creating documentation. Key skills for this role include proficiency in programming languages like Python and Java, logical thinking, and creative problem-solving.

An AI Solution Architect designs and oversees the implementation of AI systems to meet business objectives, acting as a bridge between strategy and technical execution. They design the overall architecture, ensuring solutions are reliable, scalable, and secure, while also managing data pipelines, model deployment, and integration with existing technologies. Key responsibilities include collaborating with stakeholders, ensuring ethical and compliant implementation, and staying current with AI technologies.

Performs research on algorithms, model optimization, and innovation

A robotics engineer's job description includes designing, building, testing, and maintaining robotic systems by integrating mechanical, electrical, and computer engineering principles. They develop prototypes, write code to control robot behavior, and solve problems by troubleshooting hardware and software issues. Responsibilities also involve research, cost estimation, system installation, and ensuring robots are safe, reliable, and meet project requirements.

Work on datasets: cleaning, processing, generating insights, reporting using analytics tools

Support development of ML models, implement algorithms under supervision, help integrate ML pipelines.

Build dashboards, data visualizations, generate business insights for management decisions

Builds AI systems like chatbots, recommendation systems, NLP models, and autonomous decision-making algorithms.

Creates dashboards, reports, and insights using business data. Helps companies track performance and strategy.