With the continuous upgradation in technology, the effect of machine learning can be seen emerging drastically around us. We have been leveraging it to enhance our living standards ever since.
Machine learning has now become a part of our lives. With the enhancement of the machine learning service area, the demand for machine learning professionals is also at its peak.
Here you will see some trending machine learning jobs of 2023 that will help you in choosing the right one for your future. We have answered the following machine learning career queries below:
- What are the promising machine learning jobs of 2023?
- How much does a machine learning professional make in 2023?
- What skills do you need to get machine learning jobs in 2023?
- What are the dominating sectors for machine learning jobs in 2023?
These machine learning job profiles will be in demand for upcoming decades. Hence, you can focus on any of them for sustaining a prosperous career.
Promising Machine Learning Jobs of 2023
Machine learning is one of the most trending career choices in the 21st century. Yet, many candidates are confused to choose the right profile title from different choices like machine learning jobs and deep learning jobs.
Hence, we have cherry picked some machine learning profile titles with the help of some popular career platforms such as Indeed & Glassdoor for you to check out.
Take a look at the following machine learning engineer jobs with different profile titles to start your professional journey:
Machine Learning Software Engineer
This profile deals with artificial intelligence operations. This profile is best suited for a programmer who creates machine learning algorithms to execute AI tasks. These algorithms input information and help one to understand the relationship between multiple events in them.
A machine learning software engineer builds and improves such algorithms that require analytical thinking, programming skills, and excellent logic.
The basic educational criteria for a machine learning software engineer include a bachelor’s degree in engineering, computer science, mathematics, or any similar subject. You must also have 2 years of proven experience in implementing machine learning algorithms to grab this profile title.
Apart from this, a machine learning software engineer is also expected to write codes in more than 2 programming languages. Familiarity with some tools including Spark, Flink, Kafka, Sqoop, Flume, etc. will be a plus point while applying for machine learning engineer jobs in 2023.
The responsibilities of this role focuses on dealing with big data. A data scientist uses machine learning algorithms along with data analytics to deal with a huge stack of datasets.
Generally, data scientists have to clean and process unstructured arrays of data, by which, they can find similar patterns for predicting new business intelligence measures. You need to have a strong mathematical or analytical background to be a successful data scientist.
To grow professionally as a data scientist, you need to have a bachelor’s degree in physics, maths, operations research, or statistics. Moreover, you must also have programming skills in Python and SQL along with analytical skills.
As a data scientist, you will have to showcase your analytical results, hence, it will be a plus point if you have hands-on experience in data visualization tools like Tableau, Chartist.js, Google Charts, FusionCharts, Or Grafana.
Also Read: Machine Learning Interview Questions
An Artificial Intelligence for IT Operations (AIOps) engineer plays a vital role in developing and deploying machine learning algorithms to analyze data and improve IT operations.
Mid and large-sized companies spend a lot on human resources to monitor real-time analytics of overall business performance. An AIOps engineer automates this process and reduces labor costs effectively.
The AIOps engineer is an operations professional, so, apart from a technical degree, you need to have deep knowledge of digital security, networking, and cloud technologies. Additionally, you must also be skilled to use scripts in GO, Python, Shell Scripts, etc. to automate tasks.
Cybersecurity analysts ensure a complete secured digital business ecosystem within an enterprise. These professionals implement protective measures to secure internal information and to ensure the confidentiality of company data.
A cybersecurity analyst generally has a bachelor’s degree with technical majors along with basic knowledge of security frameworks and proficiency in areas such as operating systems, software applications, and networking.
Additional security certifications like CASP+, GCED, CEH, or similar will benefit you more while growing as a cybersecurity analyst.
Cloud Architect for ML
It is safe to say that cloud computing is a secure way of sharing and storing data. Therefore most companies rely on the cloud to improve their operations.
A cloud architect deals with all the cloud-related operations within the enterprise. Being a cloud architect you must have every important knowledge of ML software platforms, storage, networks, and servers.
You must have hands-on experience with architectural solutions in Azure and AWS along with configuration management tools such as Ansible, Chef, Puppet, etc. to be a successful cloud architect for ML.
Additionally, you will need to write codes in programming languages like Python and GO. Expertise in using monitoring tools such as NewRelic, AppDynamics, Solarwinds, or similar will boost up your selection chances for a cloud architect job.
Also Read: Machine Learning Resume
The professionals with this profile title play a vital role in developing machine learning programs and algorithms used in translating systems, online dictionaries, robots, and virtual assistants.
The computational linguist profile is quite similar to the machine learning engineer profile, however, linguists combine deep knowledge of linguistics with machine learning to offer solutions for natural language processing.
As a computational linguist, you must have coding skills in Python and any other scripting language. Apart from this, a proven experience in the field of NLP is also mandatory for this position.
Human-Centered AI System Designer
A human-centered artificial intelligence system designer executes the designing tasks for a smart system convenient for humans. These professionals frequently collaborate with the target audience to understand the requirements and improve their system accordingly.
As a human-centered AI system designer, you must also have detailed knowledge of computer science, UI/UX design, cognitive science, and psychology of communications apart from the technical knowledge.
It is a complete research-focused position, hence, you need to be pursuing or have completed a Ph.D. degree in human-robot interaction, human-computer interaction, or a similar field. Additional requirements include 1+ years of experience in AI along with a portfolio of research done in related fields.
A robotics engineer is a professional who builds, maintains, and improves robots as well as complex robotics systems. These professionals must have a sound knowledge of mechatronics (mechanics & electronics) to grow seamlessly in their careers.
Being a robotics engineer, you will get enough opportunities to use machine learning algorithms in different ways for building and improving robots.
To become a robotics engineer, you must have a bachelor’s or higher degree in robotics, computer science, engineering, along with a strong experience of using programming languages including Python and C++.
You must also have a detailed understanding of using different hardware interfaces including embedded controllers, cameras, LiDAR, etc.
Also Read: Machine Learning Engineer Salary
How to Get a Job in Machine Learning?
Machine learning is one of the most trending career niches for youths in the 21st century. However, there are numerous roles associated with this technology that makes people confused while choosing the appropriate machine learning career option as per their education level.
Whatever career option you choose, the recruitment stages are generally the same across all of them. You can consider following the below-given steps while applying for entry level machine learning jobs in 2023:
- Select the profile title you want to get
- Obtain all the required educational degrees, certifications, training, internship, and experience
- Read the machine learning engineer job description
- Craft a chronological resume filled with industry-specific keywords and important metrics
- Showcase all of your resume information in bullet points except resume summary
- Prepare an impressive cover letter and attach it with your machine learning resume
- Fill the application form by entering all of your genuine details
- Attach your resume and cover letter before sending it
Your resume will be the most essential element to get a machine learning engineer job in 2023. Your educational degrees and certifications will only make you eligible for remote machine learning jobs, but a meticulously framed machine learning resume will help you get shortlisted in the recruitment process.
You can use Hiration’s AI-powered Online Resume Builder to frame a perfect machine learning resume for your job search. Its auto suggest feature will help you in showcasing your details elegantly.
Top 10 Machine Learning Certifications in 2023
After getting your computer science degree and fundamental machine learning knowledge, you can get any of these below-given certificates to get a machine learning job in 2023:
- Machine Learning with Tensorflow on Google Cloud Platform Specialization | Coursera
- Professional Certificate Program in Machine Learning and Artificial Intelligence | MIT Professional Education
- Machine Learning with Python | Coursera
- Machine Learning Stanford Online | Stanford Online
- Machine Learning by Georgia Tech | Udacity
- Professional Certificate in Foundations of Data Science | edX
- Certification of Professional Achievement in Data Sciences | Columbia University
- eCornell Machine Learning Certificate | eCornell
- Certificate in Machine Learning | University of Washington
- Machine Learning Certification by Harvard University | edX
Non-Tech Machine Learning Jobs in 2023
Machine learning is also spreading its arms in non-technical sectors these days. So, even if you are from a non-tech background, you can consider the following machine learning career options that will grow with time:
- AI Ethicist
- Conversation Designer
- Data Lawyer
You can pursue any of these aforementioned non-tech job profiles if you want to grow as a machine learning professional.
Machine Learning Salary in 2023
AI and Machine learning jobs can offer you lucrative salaries and other perks. However, the salary of a machine learning professional changes as per the geographical location of a company and the potential of a professional.
According to our research on the popular career platforms named indeed, talent.com, ZipRecruiter, and salary.com here are the salaries of all the above-given machine learning job profiles in the United States:
|Average Annual Salary
|Machine Learning Software Engineer
|AI System Designer
Trending Machine Learning Skills & Technologies in 2023
To grab a machine-oriented job like Machine Learning Enginner, you must possess the following skills in 2023. These skills will boost your machine learning career and make you earn better in upcoming years:
- Machine Learning
- Artificial Intelligence
- Computer Vision
- Tensor Flow
- Natural Language Processing
- Deep Learning
- Data Mining
Sectors Requiring Machine Learning Experts
Machine learning has become an inseparable part of our society. Currently, it is everywhere, from our smartphones to our televisions and highly influencing our daily lives.
Every sector across the globe is getting affected by this technology steadily. Take a look at the sectors affected by machine learning apart from Information Technology:
Machine Learning Job Assistance at Hiration
Machine learning is an in-demand career option. There are many courses and educational degrees available online/offline that can make you eligible for a job in machine learning.
Despite its popularity and demand, landing an entry level machine learning job is not that easy. You need to be skilled and qualified enough to get through the screening round of your recruitment process.
Initially, you need a resume-building expert to craft an impactful machine learning resume for your recruitment process. For this, you can take a look at Hiration’s Online Resume Builder powered by Artificial Intelligence Technology. If you encounter any issue while using it, you can use its 24/7 chat support for a smooth working experience.
Apart from this, Hiration is also offering some digital tools that can help you get a machine learning job in 2023:
There are numerous entry level machine learning engineering jobs available across the globe and the numbers are increasing at a rapid speed. Machine learning is a life-changing technology for the human race, which is still evolving with time.
In case of any complications, while applying for a machine learning job, you can always reach us at email@example.com. Our experts will try to respond to you as soon as possible with an effective solution.