Zain Khan, Author at AI Jobs

7 Entry-Level AI Jobs to Kickstart Your Career

Posted on 2nd September 2024 | by Zain Khan

A study by the World Economic Forum suggests that artificial intelligence (AI) is projected to create around 97 million new job opportunities. That’s great news if you are looking to break into the tech industry and establish a career there. But where do you even start?

If you are new to AI, it can be challenging to find a suitable role. However, worry not. This guide explores 7 entry-level AI jobs, the skills and qualifications you require for them, and potential salary ranges. All these details will help you understand the AI field of your interest. So, let’s begin.

7 Entry-Level AI Jobs for Fresh Graduates

Here are some of the most popular entry-level AI jobs you can get as a fresh graduate.

Junior Data Analyst

Required education: Bachelor’s in Statistics, Economics, Accounting, or Computer Programming

Expected salary: $42,000 to $82,000

As a junior data analyst, your job would be to translate numbers and data into words and graphic visualizations to help organizations make informed decisions. You would also have to write reports to convey the gathered insights.

For this entry-level AI role, the hard skills requirements are fewer than those of a senior data analyst. These include:

Proficiency in data analysis tools like SQL, Excel, Python, and R.
Understanding of data visualization platforms, including Tableau or Power BI
Basic statistical knowledge
Know-how of data processing

Research Assistant

Required education: Postdoctoral students, Bachelor’s or Master’s in a related field like Computer Science, Data Science, Mathematics, Artificial Intelligence, Cognitive Science, etc.

Expected salary: Around $88,245

An AI research assistant contributes directly to research programs responsible for creating and training hierarchical neural networks. Their primary job is to solve multiscale competence challenges, enhance the strength of the networks, and create versatile neural modules for upcoming learning tasks.

Some of the other responsibilities include basic tasks like scheduling activities of research projects, organizing relevant files, recording meeting notes, etc. The required skills are:

Familiarity with at least one framework of machine learning
Experience with Python
Strong grip over ML concepts
Top-notch research skills
Teamwork

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AI Content Creator

Required education: Bachelor’s in Communications, Journalism, Artificial Intelligence, Data Science, etc.

Expected salary: $73,267 to $89,668

This entry-level AI job is straightforward. All you will have to do is produce high-quality content based on a business’s niche through AI. This includes both informational and promotional forms of media, such as blog posts, guides, tutorials, webinars, and online courses.

According to research, the global AI content creation market is projected to increase to $16.9 billion by 2028. This indicates that more job opportunities will open in this field. That said, let’s have a look at some of the hard skills required for it:

Know-how of AI content creation and optimization tools
Search engine optimization
Analytical skills
Content strategy development
Audience research
Editing

Junior Software Developer

Required education: Bachelor’s in Computer Science

Expected salary: $69,500 and $83,000.

Software development is another entry-level AI job with a vast scope. For this post, you must know how to make different software by writing codes. Moreover, your other responsibilities can include fixing bugs and gathering user data by integration of AI algorithms and programming.

To excel as an AI software developer, you will require both technical and behavioral proficiencies like:

Expertise in coding languages like Java, Python, SQL, etc.
Understanding of data structures and algorithms for data optimization within software
Knowledge of software frameworks such as .NET for Windows or Cocoa for macOS
Front-end design and UI/UX skills
Creativity and innovation
Problem-solving capabilities

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Information System Analyst

Required education: Bachelor’s in Information Technology, Information Systems, Computer Science, or any other relevant field.

Expected salary: Around $55,000

If you are seeking to gain IT and cybersecurity experience supported by AI, an entry-level information system analyst position can be suitable. In this role, your basic responsibilities can involve shaping best practices, addressing security concerns, and managing the software installation.

Furthermore, supporting the ongoing maintenance and upgrades of systems is also on you. Companies hiring for this position usually look for skills such as:

A strong foundation in programming
Database management
Cloud computing skills
Know-how of cybersecurity fundamentals
Data Analytics
Understanding of various IT software
Effective communication
Stakeholder engagement

Intern Programmer

Required education: Bachelor’s in Computer Science

Expected salary: $47,500 and $59,000

A junior-level AI programming job involves assisting more experienced developers in creating and maintaining different applications and systems. You typically have to write codes, test algorithms, and help in the design and debugging of software using AI technologies.

The demand for this role is currently high, and the skill requirements are also basic. It includes:

Experience with AI concepts and machine learning frameworks like PyTorch and TensorFlow
Data management and manipulating skills
Know-how of cloud platforms like Azure and AWS
Understanding of basic cybersecurity principles

AI Technical Support Engineer

Required education: Bachelor’s in Computer Science, Information Technology, or any similar technical field

Expected salary: $79,196 to $98,417

An AI technical support engineer is responsible for providing support for AI products and services, troubleshooting AI applications, and assisting customers with AI implementation.

For this position, you must have a solid understanding of different AI systems, machine learning algorithms, neural networks, and robotics, depending on the specific industry. Further required skills are enlisted as follows:

Programming languages proficiency
Expertise in managing large datasets
Strong diagnostic skills to identify and resolve technical issues
Capability to configure software and hardware systems related to AI applications

Entry-Level AI Jobs: FAQs

How can I gain experience in AI before applying for jobs?

For adequate experience in the field, you can participate in internships, be a part of open-source projects, or engage in personal AI projects. Moreover, taking online courses in relevant AI technologies is also beneficial.

What industries hire entry-level AI professionals?

The industries with entry-level AI jobs include technology, finance, healthcare, automotive, retail, etc.

Conclusion

Undoubtedly, the AI industry is expanding, and with that, so is the demand for skilled professionals. This presents a fantastic opportunity for you to set a career in this field as it’s the FUTURE. All you need is expertise in some technical areas, and you’d be good to go for different positions.

Starting with entry-level AI jobs, you can surely reach senior-level roles. The key is to continuously learn and adapt to the evolving dynamics of the industry!

AI Jobs in Healthcare: Everything You Need to Know

Posted on 25th July 2024 | by Zain Khan

Artificial intelligence is revolutionizing several industries. Medical is no exception. From predictive analysis to robotic procedures, AI is shaping the way humans get treatment. In this blog post, we’ll talk about the role of artificial intelligence in the healthcare industry and to what extent it’ll replace human jobs. You’ll also get to know the top AI jobs in healthcare, and you can start applying as a fresh AI graduate. By the end, you’ll have the information you need to confidently navigate the AI job market and land your first job as soon as possible. Let’s dive in. \

Artificial Intelligence in Healthcare

AI has a key role to play in the healthcare industry. Here are some key areas where it’s being applied:

Diagnosis: AI can analyze images like X-rays, CT scans, and MRIs and help doctors diagnose medical conditions.
Drug Discovery: AI can help humans discover new drugs and predict their effectiveness.
Predictive Analysis: AI models can be used to forecast disease outbreaks and patient risks.
Robotic Surgeries: The technology can help conduct surgeries with precision.
Remote Patient Monitoring: Doctors can track their patients’ health with AI-powered wearable devices.
Medical Research: Humans can use AI to analyze vast amounts of data and generate hypotheses.

Will AI Take My Job?

There’s a growing fear that AI will replace human jobs in several industries. While that’s true to some extent, the answer is much more nuanced. While AI can handle repetitive and data-intensive tasks, it can’t fully replace humans yet. Professionals should think of it as a friend rather than a foe. In healthcare, AI can assist in surgeries, handle data analysis, image recognition, and more. Importantly, human assistance is needed at almost every stage of these processes. However, there are some jobs that can be partially or fully outsourced to AI, including image analysts, medical transcriptionists, pathologists, etc.

Top AI Jobs in Healthcare (Plus, Skills Needed to Get Them)

Here are the top AI jobs in healthcare and what skills you need to get them.

Data Analyst

Healthcare data analysts interpret large sums of data with the help of AI. The goal is to help improve operational efficiency and patient outcomes. The skills you need to land this job include:

Proficiency in statistical software
Analytical and crucial thinking
Knowledge of healthcare data systems

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Medical Data Scientist

A medical data scientist needs data science, medical research, and healthcare expertise to be successful in this role. Their primary responsibilities include data analysis, predictive modeling, decision support, data visualization, research support, and more. The specific skills you need are:

Machine learning and AI expertise
Programming languages proficiency (E.g., Python and R)
Understanding of medical terms
Problem-solving

Healthcare AI Engineer

An AI engineer applies different AI and machine learning techniques to overcome challenges within the industry. He or she designs AI solutions tailored for different healthcare applications, such as treatment recommendation systems and diagnostic tools. To be a good healthcare AI engineer, you need to be good at AI and machine learning techniques, software development, and project management. Knowledge of healthcare standards and technologies is also important.

Healthcare AI Prompt Engineer

A prompt engineer develops prompts for AI tools to generate responses and execute different applications. Healthcare AI prompt engineers create and refine AI prompts that drive healthcare interactions, such as patient communication. Plus, they help generate AI prompts for healthcare applications, ensuring that AI systems generate accurate outputs. Skills needed to be a successful healthcare AI prompt engineer:

Expertise in natural language processing (NLP)
Proficiency in programming languages (e.g., Python)
Understanding of healthcare processes and terminologies
Strong attention to detail

Healthcare AI Project Manager

The role of a healthcare AI project manager is to oversee AI projects within a healthcare organization. Their job is to ensure the projects are completed on time, within the prescribed budget, and meet quality standards. They oversee and manage interdisciplinary teams. Project managers need o have strong project management skills, knowledge of AI and healthcare technologies, excellent communication and leadership skills, and the ability to manage cross-functional teams.

AI Ethics and Compliance Specialist

Artificial intelligence can prove to be a game-changer for the growth of the healthcare industry going forward. But, the technology has its challenges. Probably the most prominent one is to leverage it while complying with all the healthcare laws and regulations. Any professional using AI to perform any task will have to be accountable for the results, so they need to be cautious. As an AI ethics and compliance (The exact name of the role may vary), you’ll need to be good at organization, communication, and problem-solving.

AI Jobs in Healthcare: FAQs

Let’s discuss some frequently asked questions about AI jobs in healthcare.

What Does AI Do in Healthcare?

AI can perform a variety of tasks in the healthcare industry. Some common ones are predicting patient outcomes using historical data, assisting in robotic surgeries, streamlining repetitive tasks, analyzing medical images, personalizing treatment plans using patient data, and more.

What Healthcare Jobs Will AI Replace?

AI will most likely replace specific tasks within jobs rather than completely replace the role. For instance, a radiologist can use AI to analyze images, but human analysis will still be important for accurate diagnosis. In addition, administrative tasks that are repetitive can be outsourced to AI. Similarly, AI tools can now transcribe medical texts with accuracy.

What is the Demand for AI In Healthcare?

The demand for AI in healthcare is rapidly increasing. According to a report, AI in healthcare could save the industry $150 billion per year by 2026. As a result, there will be an increasing need for AI professionals in almost every aspect of healthcare going forward.

Conclusion

The integration of AI in healthcare has opened up several job opportunities for AI graduates. As we move forward with the advancements, some roles in healthcare will evolve and be partially automated, but human involvement will remain irreplaceable. For those with AI expertise and an interest in making a difference in healthcare, the coming years offer exciting prospects. As AI becomes more sophisticated, professionals need to adapt and learn continuously to stay relevant.

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AI Jobs of the Future (And The Most Important Skills)

Posted on 7th July 2024 | by Zain Khan

Artificial intelligence is gaining popularity in most industries. According to research, AI could replace 300 million full-time human jobs. The amount of time and effort humans can save by outsourcing to AI is unprecedented. If you’re an AI graduate or want to pursue a career in AI, there’s good news. Currently, the AI job landscape is continuously expanding. And, it’ll continue to grow as technology gets more advanced and powerful.

In this article, we’ll talk about the most in-demand AI jobs of the future. We’ll also address a few important questions related to artificial intelligence and to what extent it’ll replace human jobs in the future. Let’s dive in.

AI Jobs of the Future

Here are some of the most prominent AI jobs you can consider moving forward.

Machine Learning Engineer

Individuals with a data science and software engineering background make good machine learning engineers. The job requires good mathematical skills, deep learning experience, neural networks, and programming skills. To become a machine learning engineer, you’ll need a bachelor’s degree in computer science or a related field.

Data Scientist

Data scientists, as the name suggests, work with data to extract valuable insights. To do that, they use different tools and techniques. Data science projects can range from super simple to highly complex. To become a data scientist, you’ll need a bachelor’s and advanced degree in statistics, computer science, or a related field. Moreover, you’ll need some experience with:

Programming languages like Python, Perl, SQL, and more
Experience with cloud tools
Good knowledge of Hive, Spark, etc.

Research Scientist

As a research scientist, you’ll have to take on some serious research projects. The job requires you to be good at multiple sub-professions, such as machine learning, statistics, mathematics, and deep learning. The educational requirements for a research scientist are also pretty high. You can expect to be compensated handsomely since it’s such an advanced role.

Software Engineer

Software engineering has been around for quite a while now. And, even in this AI-driven era, it’s not going anywhere. In fact, going forward, you may see a rise in organizations demanding skilled software engineers. The job entails writing code, quality control, API management, and more. They’re responsible for developing and managing AI software that other professionals like data scientists use.

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Data Analyst

A data analyst used to collect, clean, and analyze sets of data before the inception of AI. Today, AI can handle most of the repetitive tasks, so the responsibilities of a data analyst have evolved. Data analysts of the future will be responsible to collect and prepare data for machine learning projects. To be successful in this career, you need to be good at:

Database languages such as SQL
Python
Visualization tools
An understanding of the market

Data analysts may not make as much as some other professions on this list, but it’s surely a lucrative career path to consider if you like playing with data.

NLP Engineer

NLP stands for natural language processing. An NLP engineer is a professional who specializes in human language (Written and spoken). The job requires you to leverage NLP technology for projects involving voice assistants and speech recognition. Computational linguistics is a degree you should have before applying for NLP engineer jobs. Aspirants with a degree in mathematics, statistics, and computer science may also be considered for the role. NLP engineers can make a handsome amount yearly. The technology is still developing, so you can expect the field to expand in the future.

Robotics Engineer

Robots have been around for several decades. They were first introduced back in the 1950s. Today, robots are playing an important role in several industries. For instance, in healthcare, robots are being used in surgeries. The role of an AI robotics engineer is to build and manage such robots. An advanced engineering degree is required by most employers for this role. Robots engineers are expected to have knowledge of machine learning, CAD/CAM software, the Internet of Things, and more.

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What Skills Do You Need to Get a Job in AI?

Not all AI jobs are similar. So, the required skills may depend on the exact role. However, there are some commonalities since everything is, in one way or another, connected to artificial intelligence. Here’s what you need to learn before applying to AI jobs:

Understanding of AI and machine learning
Problem-solving skills
Proficiency in languages such as Python and machine learning frameworks such as PyTorch
The ability to communicate technical concepts to non-technical people (Inside teams and stakeholders)
know-how of Natural Language Processing (NLP)
Experience in software development
Familiarity with data analysis and manipulation

AI Jobs of the Future: FAQs

Let’s talk about some frequently asked questions about AI jobs of the future.

Are AI Jobs in High Demand?

Yes, AI jobs are in high demand. Although AI has replaced a lot of workflows and tasks in many industries, it has open several new opportunities. This is because the successful implementation of AI in the workforce requires a lot of human involvement and creativity.

Do You Need a Degree to Get an AI Job?

No, you don’t always need a degree from an institute to get a job in artificial intelligence. However, a degree or certification from a reputable institute can help your chances of getting noticed by potential employers. It’ll add more weight to your resume.

What Jobs Will AI Replace by 2030?

Jobs that involve repetition are at the highest risk. Cashiers, telemarketers, manufacturing workers, data entry clerks, customer service representatives, and delivery services are some jobs that might be replaced by AI by 2030.

Future of AI Jobs: Conclusion

The field of artificial intelligence is still in its development stage. While the introduction of AI in many industries has raised a cause for concern for many human jobs, it has opened up quite a few lucrative opportunities. If you’re an AI graduate or want to get into this field, it’s probably the best time to get your foot in the door. Start by learning the basics of AI and understanding different roles. Pick a path that complements your degree or expertise and focus on that area. The industry is continuously evolving. As an AI professional, there’s probably nothing more important than staying on top of trends and keeping your skillset up to date.

AI Graduate Jobs: Everything You Need to know

Posted on 24th June 2024 | by Zain Khan

Artificial intelligence is taking over many human tasks, especially the ones that involve repetition. As the technology gets better, more and more jobs are opening up for fresh graduates. However, if you’re new to the market, you need to consider your opportunities and skillset to make an informed career decision. In this post, we’ll talk about the best AI graduate jobs you can get right now. Let’s dive in.

Importance of AI in Modern Industries

The AI market is projected to grow at a CAGR (Compound Annual Growth Rate) of 28.46%, from 2024 to 2030. The demand for AI specialists is so high that many companies are struggling to fill in the positions. New AI roles are being introduced in numerous industries such as manufacturing, healthcare, finance, automotive, and retail. If you’re a new AI graduate, you’ll have a lot of job opportunities going forward.

Types Of AI Graduate Jobs

Here are the most common AI graduate jobs you can go for as a fresher.

Research Assistant

As an AI research assistant, you will be responsible for helping senior researchers in conducting experiments and developing new AI algorithms. Common responsibilities include:

Preparing datasets
Conducting literature reviews
Running simulations
And more

Top skills needed to be a good AI research assistant include analytical skills, proficiency in popular programming languages, and knowledge of machine learning.

Junior Data Analyst

As a junior data analyst, you’ll have to extract meaningful conclusions from sets of data and help business owners make informed decisions. Your responsibilities may include:

Data organization
Statistical analysis
Creating reports

To be an impactful data analyst, you need the know-how of data manipulation tools such as Excel and knowledge of statistics.

Junior Software Engineer

One of the most popular job roles you can get as a fresher in AI is a junior software engineer. The role involves incorporating AI into the existing systems and making processes more efficient. As a junior software engineer, you’ll mostly be responsible for writing and testing codes, implementing machine learning models, and working with the senior software engineer on different projects.

To excel at this job, you need to be skillful in different programming languages such as Python and Java. You may also need to get some experience with machine learning frameworks like TensorFlow.

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AI Product Manager

An AI product manager creates an effective communication channel between business owners and their technical teams. Their responsibilities include coordinating with developers and data scientists. They also ensure the product meets the company’s goals. Since you’ll be the only channel of communication within the organization, strong communication, and organizational skills are at the core of this role.

Associate Data Scientist

If you’re into data science, this is the perfect job to go for. As an associate data scientist, most of your time will be spent on analyzing data. Applying machine learning techniques to solve problems is another important aspect of this job. As for skills, you’ll need to be proficient with data analysis tools and languages such as R and Python. And, of course, you’ll need good analytical skills since data is involved.

Now that you know about the most popular AI jobs for fresh graduates, let’s talk about how you can get into the industry as a fresher.

How to Gain Experience as an AI Graduate

Gaining experience right after graduating can be tricky. After all, every company wants to invest in someone who has at least some experience in a relevant industry. Thankfully, there are a couple of effective ways to get noticed and land your first AI job

Internships

Probably the best way to gain relevant experience and build your portfolio as an AI graduate is by doing an internship in a reputable organization. An internship certificate with some relevant experience on it is often enough to attract the right recruiters.

Personal Projects

If you’re having a hard time getting an internship, start your own projects. You can take a course on platforms like Udemy to work on projects.

How to Get Your First AI Job as a Fresher

Here are a few powerful ways to get your first AI graduate job.

Network

Probably the best way to get the attention of potential clients or employers is by networking in relevant online communities. Join Facebook groups, LinkedIn groups, and Reddit communities. Comment on posts related to your expertise. Publish posts with an authoritative tone. This will help you position yourself as an expert in AI, improving your chances of getting hired.

Use Job Portals

Another way to get an AI job as a fresh graduate is by creating a profile on job portals. These are websites that connect employers with candidates.

AI Jobs for Freshers: FAQs

Let’s address some frequently asked questions about AI jobs for freshers.

Can I Get a Job in AI as a Fresher?

Yes, you can get a job in AI as a fresher. Getting some experience as an intern or with personal projects can help you stand out.

How Can I Start a Career in AI?

Start by getting a relevant degree in AI. Learn popular programming languages and get better at mathematics. Work as an intern and participate in AI projects to build your experience.

How Do I Get My First AI Job?

To get your first job as an AI graduate, build your portfolio and try to work as an intern in a reputable organization. Network with professionals and join popular job boards for visibility.

Conclusion

The job market may be shrinking at one end due to rapid advancements in AI. However, it creates new roles. As an AI graduate, you can take several paths such as data scientist, junior software, AI product manager, and more. As a fresher, you may need to do an internship or work on more than one AI project. As soon as you have some experience and know-how of the market, you can start networking within your industry to build expertise and get active on job boards to land your first client.

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