Introduction
There’s a lot of buzz around the Artificial Intelligence jobs (AI) in the market today. Folks running out to make careers in AI have valid reasons backed by solid data on growth in AI jobs.
A Business Insider report states that owing to the rapid pace of AI adoption by industries, the demand for Specialists in Artificial intelligence and Machine learning will grow by 40%. This will lead to creation of millions of jobs. In another instance, we took note that the World Economic Forum in its “future of jobs report 2023” backs the job growth data as it says that 75% of the companies it served are expected to adapt to Generative Artificial Intelligence.
Similarly, The US Bureau of Labour Statistics, in a report, reveals an upcoming surge in Computer and Information Technology jobs faster than the average of all occupations in the United States. It says that on an average, about 377,500 jobs will be added every year during the 2022-2032 decade.
Cool down if these stats are blowing up your mind
We are here to guide you with the right career path to artificial intelligence jobs. All we wish to prove with these data is that the upcoming decade is going to be an AI decade, and staying debarred from these high-paying AI careers will certainly not be a rewarding move.
Industries are adapting to a technology that we need to know to work with to survive in the job race. People fear that AI will replace them, but that’s half true only. Ai is not going to replace you but the people with AI skills certainly can.
Before we dive into understanding top 10 AI job profiles and the Artificial intelligence training required to get these high profile AI jobs, let's explore if AI can really offer a promising career.
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Is Artificial Intelligence a Promising Career?
Yes, individuals can make promising careers in AI with the right skills and training in Artificial Intelligence. Let’s see some factors that clearly signifies huge scope and a promising careerS in AI.
Since more and more companies are adopting AI technology, artificial intelligence jobs are growing by 32% annually. The AI industry needs skilled professionals to meet the growing demand. There are many vacant positions in AI jobs. A report states that 2 million jobs in AI, Cybersecurity, and Blockchain will remain vacant in 2023. It indicates a talent Gap in the AI sector, and it is the best time to pursue an AI certification program that makes you eligible for jobs in AI.
A Glassdoor report states that the average salary of AI Engineers in the US is $ 1,41,565 / year. This is 2.3X of the average salary for jobs in the United States.
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Continuous Learning and Growth
Companies using Artificial Intelligence regularly train their employees on new technologies. One such example is a recent statement by Google AI CEO Jeff Dean, where he mentioned that Google will design AI training programs to train all Google employees on PaLM GPT.
LinkedIn’s Labour Market Report 2023 says that there has been a 21X growth, since 2016, in artificial intelligence jobs based on mentions of AI skill requirements by the recruiters on its platform. This statement indicates that companies are adopting Artificial Intelligence rapidly.
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C-Suits and Industry Expert Views
Around 47% of US executives believe that using AI will boost productivity and 92% believe that AI skills in 2023 are more important than ever. This again signifies an upcoming surge in artificial intelligence job opportunities in the United States.
As several factors indicate that AI can offer a promising career, we must learn about the Top Job profiles in Artificial Intelligence. This will help to identify the skills one should pursue to get a job in AI in 2023.
Top 10 Job Profiles and Opportunities in Artificial Intelligence
Yes, individuals can make promising careers in AI with the right skills and training in Artificial Intelligence. Let’s see some factors that clearly signifies huge scope and a promising careers in AI.
1. Data Scientists
A data scientist is an analytics professional responsible for collecting, analyzing and interpreting large amounts of data using analytical, statistical, programming and communication skills to help drive decision-making in an organization. Their major roles and responsibilities include:
- Mining and extracting relevant data from various data sources and filtering structured and unstructured data
- Processing and verifying data to be further used for analysis
- Devising solutions, strategizing, and resolving business challenges
How to get Data Scientist AI jobs.
To get an AI job as a Data Scientist, one needs to have a bachelor’s degree in computer science or related field like mathematics and an AI certification that equips you with skills that aligns you with the roles and responsibilities of a Data scientist.
The roles and responsibilities of a Data Scientist include:
- Mining and extracting relevant data from various data sources and filtering structured and unstructured data
- Processing and verifying data to be further used for analysis
- Devising solutions, strategizing, and resolving business challenges
Course recommendation: Data Science Certification Training - Using R Or Python
Data Engineering Certification Training - Using R Or Python
Average Annual salary: $ 124,413 a year
2. Machine Learning Engineers and Developers
These developers devise algorithms and create programs that help decision-making in intelligent machines without any human intervention. The ML engineers' job is to understand computation, algorithms, and data structures. ML engineers and developers need a good grasp of mathematics, verbal and analytical efficiency, predictive analysis, and the ability to handle large datasets. Therefore, programming and computing are essential to becoming a successful machine learning engineer. A thorough knowledge of machine learning, machine learning automation tools, and data structures is a prerequisite and highly beneficial for artificial intelligence career paths.
A good understanding of cloud computing and applications and coding skills is an added advantage, and that's where Janbask can help you realize your artificial intelligence career prospects. Enroll to leverage our top-rated Artificial Intelligence certification course and enhance your skills. These skills are essential and will fetch you a great salary package.
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How to get Machine Learning related AI jobs.
The basic qualification to become a Machine Learning AI engineer includes a Master's degree in computer science and through knowledge of skills that help you carry on job responsibilities as a Machine Learning Engineer. These skills are key to cracking interviews and demonstrating your practical knowledge of the role. These skills need to be learned from professional institutes that impart quality training for AI jobs.
JanBask has shaped many careers of AI aspirants and is a the best institute to get AI jobs training.
Before we explore some top courses for AI jobs, let's take a look at the roles and responsibilities of a Machine Learning Engineer. They are:
- Design and Develop a machine learning system for a prototype
- Do statical analysis, build model data pipelines, and create data flow
- Create Machine learning applications for testing and training
Course recommendation: Machine Learning Online Certification Training Course
Average Annual salary: $160,589 a year
3. Big Data Architect / Engineer
Big data is massive, assorted, unstructured data that adds up at a high frequency. It is extracted from data lakes, where data is stored in its native form. The role of a big data architect/engineer is to administer big data, optimize its performance and process it to maintain the data pipeline. Database optimization, data lake handling and big data processing architecture are the essential skills needed to build your career in AI.
Popular programming languages like Python, Java and SQL will undoubtedly build up your AI job prospects and enhance your chances of bagging a great job. AI job aspirants with a master's or a Ph.D. in mathematics or computer science are given preference over others. Your academics, relevant courses, and certification is a sure shot at making a flourishing career in artificial intelligence by being a big data architect. For more information, check out Janbask Training AI and Data Science courses and leap towards the most-sought after AI careers.
How to get Big Data Architect AI jobs.
Big Data Ai jobs need a graduate individual with thorough knowledge of AI skills in the field of Data architecture. While some companies ask for a graduate degree in computer science or IT field, many don't mention a stream compulsion. They just need a graduate candidate with thorough knowledge of AI skills to take up the responsibilities of a big data architect. The responsibilities of an Data Engineer include:
- Creating data pipelines that extract and load data into a prototype
- Analyzing, Ingesting, and processing big datasets
- Translate complex data into design
Course recommendation: Data Engineering Certification Training - Using R Or Python
Average Annual salary: $ 165,108 a year
4. AI Data Analyst
AI data analyst uses machine learning models and analytical methodologies to procure, prepare, clean, and model the data. AI data analyst uses artificial intelligence to perform their jobs and tasks. Artificial intelligence and data analytics are vital in conducting in-depth analysis. AI lends support to data analytics to boost its functionalities. If you are curious and would like to learn more about it, you can sign up for an insightful tutorial here.
Utilizing both together helps in micro insights that human analysts may not easily find. Complex analysis can be done quickly and efficiently through Artificial Intelligence. AI data analysts also design and create reports to support stakeholders for better decision-making. The average salary of AI data analysts is 4.4 lakh per annum. Data analysts' highest-paying artificial intelligence jobs are 11.5 lakh or $13000 per annum.
The rewards of a career in artificial intelligence with one of its branches – AI data analytics won't come without significant training and effort. AI data analysts require specific skills to thrive in this field. Their qualifications are primarily tech-centric, along with a handful of soft skills that can further your chances of a future career in artificial intelligence. If you're seeking to get into this field, Janbask Training gives you the most vital foundation to make your AI career as a data analyst. Our specialized courses in Data Science cover not only the basics of AI and different programming languages but also provide you with in-depth knowledge about different aspects of the data science ecosystem, AI, Python, Deep Learning, ML, and much more. If you're still on the fence and pondering about what exact course or specialization you'd like to pursue, you can also schedule a demo class and get answers to all your questions and doubts.
There is no fixed way to go about gaining these skill sets. While many aspirants opt for a master's program, a growing cohort of candidates and learners has begun enrolling in courses and certifications with scheduled and brief timelines attracted by their reasonable price points. But regardless of the route you take, you will definitely need to acquire a sturdy set of skills to become an in-demand data professional and secure a well-paying job in artificial intelligence.
How to get Data Analyst AI jobs.
Data analysis is like playing a strategic game with data, and good skills of mathematics is indeed a must need. But don’t worry if your mathematical concepts are not that good. An advanced training in data analysis from JanBask will teach you sets of skills that are used in on job roles, as a Data Analyst. However, you need to be a graduate.
The roles and responsibilities of a data analyst include:
- Procuring, preparing, cleaning, and modeling the data.
- In-depth analysis of complex data with Artificial Intelligence
- Design and create reports to support stakeholders for better decision-making.
- Collecting data from primary and secondary sources, and managing a database for future needs.
A data analyst should have the skills of languages like python, tableau or R, and additionally he should be able to manage databases, thus requiring MYSQL expertise.
Course recommendation: Master Analytics Tools and Techniques With Data Analytics Course
Average Annual salary: $90,500 to $110,000 a year
5. AI Product Manager
An AI product manager is a hybrid role where the AI professional is both a data scientist and a designer. An AI product manager should have strong design skills and knowledge of machine learning, algorithms, and other methods to enhance businesses with artificial intelligence. AI product managers develop new products using artificial intelligence by creating prototypes for how machines should interact with humans. They lead projects from start to finish - designing and building the prototype through extensive research.
They are creative thinkers and people managers with excellent communication skills. Every organization needs a product manager, and with AI jobs making a foray, their demand has skyrocketed. This is one of the high-paying jobs in Artificial Intelligence. The average salary, approximately is about 17.5 Lakh or $21,649 per annum.
If you're contemplating a career in AI and ML, then AI product manager might be the career for you. Get started by signing up for the relevant course and certification in AI to gain practical hands-on experience in AI and level up for the most in-demand jobs.
A bird's eye view for you of AI Job profiles, skills required and a rough estimated salary number:
It's an opportune time for AI aspirants and professionals who would want to make a career in AI. With global giants hiring AI professionals, jobs in artificial intelligence have soared.
Artificial intelligence is being used in the following sectors:
- Healthcare: Automating tasks and analyzing big data sets of several patients to deliver efficient, better healthcare and make it more affordable.
- Finance: To better predict and evaluate loan risks. It helps in improving investment assessment and provides a better customer experience.
- Marketing: To make automated decisions based on data collection, data analysis, customer observations, and monitoring economic trends that can impact marketing efforts. AI is also used in digital marketing, where speed is essential.
- Agriculture: AI systems are used for crop and soil monitoring. It is also used to monitor livestock health. It helps with intelligent spraying, automatic weeding, produce grading and sorting.
- E-commerce: AI is transforming e-commerce and retail industries through purchase recommendations, voice-enabled shopping assistants, personalized shopping experiences, robotic warehouse picking, and facial recognition payment methods.
Explore your career options! AI could be a potential career for you, but to succeed in this domain, you must learn and acquire the requisite skills. Explore academic and professional certifications, and if you're looking for financially-feasible courses designed by industry veterans and experts, enroll in Janbask Training. Holistically designed AI courses provide the best mix of theoretical and practical knowledge. The cherry on the cake is the real-world case studies that prepare you for successful and promising AI careers. Take that much-needed career leap and move closer to that package you've always dreamt of.
How to get AI Product Manager jobs
Ai product managers are the top paid professionals among the AI engineers, but it asks for a normal eligibility of being a graduate in computer science. Companies prefer to hire MBAs but it is just a preference that favors only if the candidate is competent enough with product management and artificial intelligence modules implementation.
Let’s take a look at the roles and responsibilities of an AI Product manager, and learn which janBask course can help you gain the relevant skills. The roles and responsibilities of an AI product manager include:
- Creating prototypes for how machines should interact with humans
- Develop new products using artificial intelligence
- Testing and performance monitoring of the prototype
- Coordination with data scientists, designers, and analysts during the entire project.
Course Recommendation: Data Science Certification Training - Using R Or Python
Average Salary: $175,069 a year
6. Computer Vision Engineer
The Job of a computer vision engineer is to design and develop algorithms that can analyze and interpret images and videos. Companies using AI need applications that interpret text from images or understand the image to fetch relevant data and process information.
One example of a website that relies heavily on a Vision engineer's work would be "Google Images". A similar example would be the “bar codes” on products. Applications are programmed to understand the bar codes and match the obtained information to the products. Similar applications are needed by companies to handle customer data and expedite the processing cycle.
Pursuing a career in artificial intelligence as a Computer Vision Engineer would require familiarity with libraries and frameworks like OpenCV, TensorFlow, and PyTorch.
How to get Computer Vision Engineer AI jobs
Computer vision engineers perform tasks that need the skills to develop,test, debug and deploy programs that make an AI tool smart to process recognition related jobs. The AI tools need to be taught how to make decisions with texts, images and videos. Their main responsibilities include:
- Image and Video recognition: Develop Algorithms for image and Video interpretation.
- Image Enhancement: Develop image enhancement programs
- Facial Recognition: Utilize Deep Learning frameworks for image analysis and recognition
- Image Moderation and Filtering: Identify and Filter inappropriate images
- Testing, Debugging, and Deployment: Testing algorithms to ensure reliability and flawless deployment.
These skills need to be learned through ai certification programs. Janbask can help you gain competency with its course. Follow the link below to explore the best course to learn computer vision engineer skills.
Course recommendation: Artificial Intelligence Training Online Certification
Average salary: $165,000 per year
7. Natural Language Processing Engineer
Natural language Processing Engineer deals with Speech patterns and Speech recognition technologies. They develop algorithms and programs that enable an application to understand, interpret, and generate human-like speeches.
Getting an artificial intelligence job role as an ” NLP Engineer” would require an understanding of machine algorithms and deep learning frameworks.
Example: Chatbots or voice assistants like Alexa.
How to become an NLP Engineer?
To become an NLP Engineer, one needs to have a sound understanding of the roles and responsibilities of an NLP Engineer, and should possess skills that help perform those tasks. Beside being a Graduate in Computer science, you need to have skills in NLP Libraries (NLTK, spaCY), Python, and Linguistics knowledge. Roles and responsibilities of an NLP Engineer include:
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Text Recognition, Generation, and Classification: NLP Engineers develop programs for text generation like developing an AI writing tool. They also build programs to categorize and classify text.
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Speech Recognition and Generation: NLP Engineers need to build models that can recognize speeches for sentiments and generate human-like speech with input data. An example of one such application is Text-to-speech converters, e.g. Descript. Descript can learn the speaker's voice patterns and can generate speeches from text in its learned pattern.
Course recommendation: https://www.janbasktraining.com/online-python-training
Average salary: $162,500 per year
8. AI Business Analyst
With business houses adopting AI technologies, the role of AI business analysts has gained much importance. They play the vital role of a coordinator between the business team and the technical team working on AI projects. They make sure that the AI development aligns with the organization's business goal. Their roles and responsibilities include:
- Understanding the nature of business and its objective.
- Coordinating with business stakeholders to understand the need for AI modules that can help the business meet a specified objective.
- Documenting requirements and defining the scope of the AI project.
- Maintaining coordination and communication between the business team and the technical team to meet the business objective
Beside being a computer science graduate, you need to be an expert in Data analyzing with Artificial intelligence. The best course recommended course and average salary of an AI business analyst is given below:
Course recommendation: Business Analyst Online Certification Training Course
Average salary: $89,500 per year
9. AI UX Designer
An AI UX designer works on developing an interface for the deployment of AI technology on an application. He/she is responsible for the application meeting the business goal while providing a user-friendly experience. Major roles and responsibilities of an AI UX Designer include:
- User Research: Conduct user research to understand the needs of the users and design an interface that facilitates a seamless operating experience.
- AI Interface Design: The interface should facilitate user-friendliness operation while being visually appealing.
- Testing and deployment of interface: Testing the AI interface for accessibility and delivery of content.
- Ethical Considerations: Ensure that the interface is transparent and is not biased. It aligns with data-preserving policies and other AI-related norms.
How to get AI UX Designers jobs?
To become an AI UX designer you need to have a sound understanding of AI technology along with a background in UI/UX Design, and familiarity with UI design tools like AdobeXD, Sketch, Figma.
Course recommendation: Artificial Intelligence Training Online Certification
Average salary: $167k per year
10. Robotics Engineer
Robots are being extensively used in industries today. Be it a hospital or a service floor, robots are performing many jobs, and scientists are working hard to make them even more user-friendly.
Robots perform activities by analyzing a series of tasks like computer visioning, speech recognition, mapping, and localization. As an AI Engineer, you will be responsible for developing algorithms that guide and control robots. You will also be required to coordinate with production and design engineers from the Mechanical discipline, so an understanding of computer-aided drafting (CAD/CAM) would be helpful.
How to get AI jobs as a Robotics Engineer?
To become a Robotics Engineer, one needs to be a graduate with Artificial intelligence skills in Robotics, Control system, C/C++, Python and JAVA. An aspirant with proficiency in computer vision and NLP skills will get preference in the selection process. Major roles and responsibilities include:
- Development of Algorithms that help robots perform the desired activities in a specified manner.
- Computer Visioning of the prototype
- NLP programming of the Robot
Course recommendation: Artificial Intelligence Training Online Certification
Average salary: $ 96,872 a year
How To Make a Promising Career in AI
Follow the below-given steps which guide you right from understanding the basics of AI, through learning the required skills, to securing a promising job in AI.
1.Explore Industries offering AI Jobs: AI is not just confined to one industry. Industry players from all sectors are exploring artificial intelligence to make their businesses more profitable. So if you are a working professional, identify artificial intelligence job opportunities in the field/Industry you are working in. And, if you are a beginner or want to start as a beginner, we recommend identifying the industry that interests you, or you possess some skill in.
2. Pick a role in the industry of your choice: As a next step, identify a few roles that you like to do jobs in AI. Make a preference list for the chosen roles. Explore the artificial Intelligence career paths for the chosen role and find the skills that you need to learn to avail AI job opportunities for the role.
3.Select the right course from a credible institute: Select a course from a credible institute that offers in-depth studies in teaching the skills you have identified. This is where premier institutes like Janbask play the most crucial role in your artificial intelligence career paths.
JanBask is an authoritative name in the field of artificial intelligence certificate programs. It is 10 years now that JanBask is playing a key role in the life of aspirants looking to make a career in AI.
Our specialized courses in Data Science cover not only the basics of AI and different programming languages but also provide you with in-depth knowledge about different aspects of the data science ecosystem, AI, Python, Deep Learning, ML, and much more. If you're still on the fence and pondering about what exact course or specialization you'd like to pursue, you can also schedule a demo class and get answers to all your questions and doubts.
4.Build a Portfolio: Create a personal website or GitHub repository to showcase your projects, research, and contributions to open-source AI projects. A strong portfolio impresses potential employers.
5.Apply for AI Jobs: Start applying for AI-related positions like machine learning engineer, data scientist, AI researcher, or AI product manager. Customize your resume and cover letter to highlight your skills and experiences.
Which Industries offer Jobs in AI
It's an opportune time for AI aspirants and professionals who would want to make a career in AI. With global giants hiring AI professionals, jobs in artificial intelligence have soared.
Artificial intelligence is being used in the following sectors:
- Healthcare: Automating tasks and analyzing big data sets of several patients to deliver efficient, better healthcare and make it more affordable.
- Finance: To better predict and evaluate loan risks. It helps in improving investment assessment and provides a better customer experience.
- Marketing: To make automated decisions based on data collection, data analysis, customer observations, and monitoring economic trends that can impact marketing efforts. AI is also used in digital marketing, where speed is essential.
- Agriculture: AI systems are used for crop and soil monitoring. It is also used to monitor livestock health. It helps with intelligent spraying, automatic weeding, produce grading, and sorting.
- E-commerce: AI is transforming e-commerce and retail industries through purchase recommendations, voice-enabled shopping assistants, personalized shopping experiences, robotic warehouse picking, and facial recognition payment methods.
Explore your career options! AI could be a potential career for you, but to succeed in this domain, you must learn and acquire the requisite skills. Explore academic and professional certifications, and if you're looking for financially feasible courses designed by industry veterans and experts, enroll in Janbask Training. Holistically designed AI courses provide the best mix of theoretical and practical knowledge. The cherry on the cake is the real-world case studies that prepare you for successful and promising careers in AI. Take that much-needed career leap and move closer to that package you've always dreamt of.
Conclusion
It's not hyperbole when we say that today's world runs and the future tomorrow will run on data. With massive data being churned out every second, the global Big Data, AI, and business analytics market has expanded rapidly over the past few years. With this rapid expansion comes not one but several significant artificial intelligence job opportunities to develop your skills in AI, data science, data analytics, machine learning, and many more. Digital transformation is the buzzword, and AI professionals and jobs are needed more than ever. Career openings beckon from nearly every sector and industry and if you’d like to be part of this dynamic and futuristic technology but are not sure where to start from, sign up for a tutorial in artificial intelligence for more insights. Explore your specializations and develop a solid AI foundation. A world of artificial intelligence awaits you!
FAQs
Q1. Are jobs related to artificial intelligence (AI) high-paying jobs?
Ans: The AI market is growing at a phenomenal pace. The entry-level annual average AI engineer salary in India is around 8 lakhs per annum, which is significantly higher than the average salary of any other engineering graduate. At top-level positions, an AI engineer's salary can be as high as 50 lakhs per annum. But that also depends on your skill sets and experience.
Q2. What are the top 5 jobs in AI?
Ans: Top 5 artificial intelligence future jobs in AI are Machine Learning Engineer, Data Scientist, AI Product Manager, AI Engineer, Data Analyst, and Big Data Architect.
Q3. Is AI or Machine Learning certification essential to land an AI job?
Ans: Yes, AI and ML courses and certifications are essential. If you want to make a career in AI. Janbask Training offers different specializations, and you can choose your career path with whatever interests you. Artificial intelligence jobs in the future are rising and it’s the time when you can make the most of it.
Q4. Will a certified course in data science help me get AI jobs?
Ans: A focused course that teaches data science in detail, with relevant study material and real-world case studies, and provides hands-on experience would be an ideal fit for you.
Q5. How do I get an AI job easily?
Ans: AI jobs and a career in artificial intelligence are fast taking over the world. While nothing is easy, a great course in AI with experts guiding you through your 6-week journey can definitely help you get your dream AI job quickly and easily. Don't shy away from the efforts, though.
Q6. How can I switch my career to AI without spending a lot of money?
Ans: To switch your career to AI, you need 3 important things: Good technical skills- like knowledge of programming languages like Python, Hadoop, Java, R. Practical knowledge and a great resume. And Janbask Training is your one-stop shop where you can get all these three things.
Q7. Can a non-engineering student become an AI data analyst?
Ans: Yes! If you learn programming languages like R, Python, and other tools and can code, you can become an AI data analyst. Entry level AI jobs is the first ladder to success. All the best!
Q8. How lucrative is a career in AI?
Ans: The blog would have given you an idea of how promising a career in artificial intelligence is. If you're interested in being a part of digital transformation, enrol yourself in an AI course now.
Q9. What are the suggested certifications for an aspiring AI professional?
Ans: if you want to learn core concepts from scratch but have limited time, courses at Janbask Training are the best. Their 6-week courses are brief yet comprehensive. USP is a hands-on learning experience. The best part is they prepare you for the job.
Q10. Is the future and career in artificial intelligence bright?
Ans: According to the Gartner report of 2019, there has been a 270% growth in the applications of AI from 2015 – 2019. Thus, AI jobs are bound to climb high in the future.
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A data scientist is an analytics professional responsible for collecting, analyzing and interpreting large amounts of data using analytical, statistical, programming and communication skills to help drive decision-making in an organization. Their major roles and responsibilities include:
These developers devise algorithms and create programs that help decision-making in intelligent machines without any human intervention. The ML engineers' job is to understand computation, algorithms, and data structures. ML engineers and developers need a good grasp of mathematics, verbal and analytical efficiency, predictive analysis, and the ability to handle large datasets. Therefore, programming and computing are essential to becoming a successful machine learning engineer. A thorough knowledge of machine learning, machine learning automation tools, and data structures is a prerequisite and highly beneficial for artificial intelligence career paths.
Big data is massive, assorted, unstructured data that adds up at a high frequency. It is extracted from data lakes, where data is stored in its native form. The role of a big data architect/engineer is to administer big data, optimize its performance and process it to maintain the data pipeline. Database optimization, data lake handling and big data processing architecture are the essential skills needed to build your career in AI.
AI data analyst uses machine learning models and analytical methodologies to procure, prepare, clean, and model the data. AI data analyst uses artificial intelligence to perform their jobs and tasks. Artificial intelligence and data analytics are vital in conducting in-depth analysis. AI lends support to data analytics to boost its functionalities. If you are curious and would like to learn more about it, you can sign up for an 
An AI product manager is a hybrid role where the AI professional is both a data scientist and a designer. An AI product manager should have strong design skills and knowledge of machine learning, algorithms, and other methods to enhance businesses with artificial intelligence. AI product managers develop new products using artificial intelligence by creating prototypes for how machines should interact with humans. They lead projects from start to finish - designing and building the prototype through extensive research. 
The Job of a computer vision engineer is to design and develop algorithms that can analyze and interpret images and videos. Companies using AI need applications that interpret text from images or understand the image to fetch relevant data and process information.
Natural language Processing Engineer deals with Speech patterns and Speech recognition technologies. They develop algorithms and programs that enable an application to understand, interpret, and generate human-like speeches.
With business houses adopting AI technologies, the role of AI business analysts has gained much importance. They play the vital role of a coordinator between the business team and the technical team working on AI projects. They make sure that the AI development aligns with the organization's business goal. Their roles and responsibilities include:
An AI UX designer works on developing an interface for the deployment of AI technology on an application. He/she is responsible for the application meeting the business goal while providing a user-friendly experience. Major roles and responsibilities of an AI UX Designer include:
Robots are being extensively used in industries today. Be it a hospital or a service floor, robots are performing many jobs, and scientists are working hard to make them even more user-friendly.
Jul 26, 2024
284
Jax Williams
What is the total course and certification fee for artificial intelligence (AI)? Also, if these training providers help with career counseling and resume building?
JanbaskTraining
You can check out the details at : https://www.janbasktraining.com/ai-certification-training-online Yes, they provide great career counselling and also help with resume building.
Amari Jones
What is the salary package if I get a job as an AI Engineer?
JanbaskTraining
The national average salary in India for an AI Engineer is ₹8 lakh per annum and can go up to ₹50 lakh per annum with skills and experience.
Zane Brown
I am confused and in two minds if this will be a good career move for me? Can someone guide me?
JanbaskTraining
If you are still unsure, get in touch with career counsellors at https://www.janbasktraining.com// They’ll guide and clear any doubts you may have. If you would like to make a career in AI , AI or want to become a developer, you can enroll yourself for a free demo class at: https://www.janbasktraining.com/ai-certification-training-online and talk to our experts for more information.
Knox Miller
Looking for a head start to becoming an AI Developer. Can you help with some links where I can explore more about courses, certifications and study material.
JanbaskTraining
Sure! https://www.janbasktraining.com/ai-certification-training-online is a great place and provides a great foundation.
Adonis Smith
Hi! It's a very informative blog about AI and different career opportunities in it. Can we also have an insight on other technologies like AI?
JanbaskTraining
Hey, Thanks for sharing your experience. For further insight, you can connect to us at https://www.janbasktraining.com/contact-us
Aidan Johnson
After reading the blog on AI career opportunities and salary packages, I am really keen to learn AI and Machine Learning. Can you plz suggest a good certification or course?
JanbaskTraining
AI and ML are surely the future of technology and offer attractive salary packages. Thank you for your comments and interest. For information about AI and ML courses and certification , you can connect with us at: https://www.janbasktraining.com/contact-us
Kaden Brown
Hie, it's a very informative blog on AI salary and packages. I have been thinking of enrolling myself because I want to make a career in AI and get a great package. Can you throw some light on that?
JanbaskTraining
Hey, Thanks for sharing your interest & query. We would be happy to help make a desirable decision. For further assistance, you can connect to us at https://www.janbasktraining.com/contact-us
Paul Wilson
How do I prepare for an AI Developer / Engineer interview?
JanbaskTraining
Well! Thorough knowledge of Programming Languages through a professional certification, good analytical and communication skills can be a great starting point. For more info, get in touch with industry experts and a great place is https://www.janbasktraining.com/contact-us
Omar Moore
Can non-technical people learn AI?
JanbaskTraining
To start with, one needs to have a basic know-how about data science, stats and basic knowledge of data processing. All these can be learnt as well. A strong combination of non-technical and technical skills can help explore a great career in AI. But a good professional course and certification can definitely provide you with the much needed theoretical and practical training.Enrol in a good course and get yourself certified. Check out well-devised courses at: https://www.janbasktraining.com/ai-certification-training-online