CAREER PATH

After completing a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning at GCU, these are some of the most trending career paths that open up for graduates in this field:

• Artificial Intelligence Engineer: As an AI engineer, you would develop and implement AI models and algorithms to solve complex problems. You could work on projects related to computer vision, natural language processing, robotics, or recommendation systems. Companies that recruit AI engineers in India include Microsoft, Google, Amazon, IBM, Infosys, Wipro, TCS, Accenture, Capgemini, Cognizant etc.
• Machine Learning Engineer: Machine learning engineers focus on designing and implementing machine learning algorithms and models. They work on data preprocessing, feature selection, model training, and evaluation. Recruiting companies for machine learning engineers in India include Adobe, Flipkart, Ola Cabs, Swiggy, Zomato, MakeMyTrip, Mahindra & Mahindra, Reliance Industries, Byju's, InMobi etc.
• Data Scientist: Data scientists analyze and interpret complex data to extract insights and drive decision-making. They develop predictive models, perform statistical analysis, and communicate their findings to stakeholders. Companies in India that hire data scientists are Fractal Analytics, Mu Sigma, Genpact, Novartis, Deloitte, American Express, Walmart Labs, Tata Consultancy Services (TCS), Mahindra & Mahindra, Accenture etc.
• Research Scientist: Research scientists focus on advancing the field of AI and ML by conducting innovative research. They work on cutting-edge projects, publish papers, and collaborate with academic institutions and industry partners. Recruiting companies for research scientists in India include Microsoft Research India, IBM Research India, Amazon Research India, Tata Research Development and Design Centre (TRDDC), Infosys Research, Indian Statistical Institute (ISI), International Institute of Information Technology (IIIT) Hyderabad, Indian Institute of Science (IISc) Bangalore etc.
• AI Consultant: AI consultants provide strategic guidance to organizations on how to leverage AI and ML technologies to solve business challenges. They help design AI strategies, identify opportunities for implementation, and guide the adoption of AI solutions. Consulting firms in India that hire AI consultants are Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), KPMG, Accenture, McKinsey & Company, Boston Consulting Group (BCG), Capgemini, Cognizant etc.
• AI Product Manager: AI product managers are responsible for overseeing the development and management of AI-based products and services. They work closely with cross-functional teams to define product requirements, conduct market research, and drive product strategy. Companies such as Google, Microsoft, Amazon, Flipkart, Ola Cabs, Paytm, Swiggy, Zomato, Byju's, and startups in the AI domain hire AI product managers.
• AI Ethicist: As an AI ethicist, you would be involved in addressing ethical concerns and ensuring responsible development and deployment of AI technologies. You would analyze the ethical implications of AI algorithms, policies, and decision-making processes. Companies and organizations focusing on AI ethics and responsible AI, such as OpenAI, AI4ALL, and research institutes, - Infosys, TCS, Wipro, IBM India Research Lab, Indian Institute of Science (IISc) Bangalore, may have openings for AI ethicists.
• Robotics Engineer: Robotics engineers design, develop, and program robotic systems and machines. They combine AI and ML techniques with mechanical engineering principles to create intelligent and autonomous robots. Companies like Boston Dynamics, GreyOrange, ABB, GreyOrange, Tata Consultancy Services (TCS), Mahindra & Mahindra, ABB India. Hi-Tech Robotic Systemz Ltd, and startups in the robotics industry hire robotics engineers.
• Data Engineer: Data engineers build and maintain data infrastructure and systems to support the storage, processing, and analysis of large datasets. They work on data pipelines, data integration, and data architecture, ensuring data quality and availability for AI and ML applications. Companies like Netflix, LinkedIn, Facebook, Flipkart, Amazon India, Reliance Jio, Mu Sigma, Fractal Analytics, and other tech giants recruit data engineers.
• AI Researcher: AI researchers focus on advancing the theoretical foundations of AI and ML through research. They explore new algorithms, models, and techniques to push the boundaries of AI technology. Research organizations, academic institutions, Microsoft Research India, IBM Research India, Infosys Research, Indian Statistical Institute (ISI), International Institute of Information Technology (IIIT) Hyderabad, and AI labs within companies offer opportunities for AI researchers.
• AI Entrepreneur: Students with a passion for entrepreneurship can start their own AI-based ventures. They can develop AI-driven products, services, or solutions and build their own startups in areas like healthcare, finance, agriculture, or smart cities. Entrepreneurship incubators, startup accelerators, Freshworks, Zoho, InMobi, MindTickle, Innovaccer, and funding agencies support aspiring AI entrepreneurs.
• AI Analyst: AI analysts leverage AI and ML techniques to analyze data, identify trends, and provide insights to support decision-making. They work across various domains, such as marketing, finance, healthcare, and supply chain management. Consulting firms, analytics companies, Accenture, Genpact, Mu Sigma, Fractal Analytics, Tata Consultancy Services (TCS), and large enterprises hire AI analysts.
• AI Software Developer: AI software developers specialize in designing and implementing AI algorithms and systems. They develop software applications that incorporate AI capabilities, such as chatbots, virtual assistants, or recommendation engines. Tech companies like ThoughtWorks, HCL Technologies, Mphasis, Persistent Systems, Happiest Minds, and startups with AI-focused products hire AI software developers.
• AI Trainer/Annotator: AI trainers or annotators are involved in preparing and labeling datasets for training AI models. They curate and annotate data, ensuring its quality and relevance for AI algorithms. Appen, iMerit, Playment. Cogito Tech LLC, CloudFactory, AI training service providers, data labeling companies, or AI research labs often require AI trainers or annotators.
• AI Security Specialist: AI security specialists focus on identifying and mitigating potential security threats and vulnerabilities in AI systems. They work on ensuring the integrity, confidentiality, and robustness of AI models and data. Cybersecurity firms and organizations with AI-enabled systems such as Lucideus, Sequretek, Quick Heal Technologies, K7 Computing, TAC Security, hire AI security specialists.

Artificial Intelligence (AI) and Machine Learning (ML) represent a large swath of faculty and research interests. We are concerned with constructing top-to-bottom and bottom-to-top models of human-level intelligence; building systems that can provide intelligent tutoring; creating adaptive and intelligent entertainment systems; making systems that understand their own behavior; growing our understanding of how to build autonomous agents that can adapt in dynamic environments involving multitudes of other intelligent agents, some of whom might be human; modeling and predicting human behavior; automating creativity; and addressing a variety of other problems.

At the undergraduate level, AI and ML are mainly found in two threads: Intelligence and Devices. Commonly taken courses include Introduction to Artificial Intelligence, Machine Learning, Natural Language Understanding, Knowledge-based AI, Game AI and Pattern Recognition. Several courses in robotics and computational perception also have an AI or ML aspect.