The Machine Learning Talent Desert: Why Upskilling is Your Secret Weapon

May 16, 2024 8:02:37 AM / by Deidra Moss


"The best way to predict the future is to create it," a timeless quote by Peter Drucker. Modern business is shifting, propelled by the engine of artificial intelligence and machine learning (AI/ML), particularly Generative AI. Companies hungry for the competitive edge offered by these technologies are facing a formidable roadblock: the acute scarcity of qualified AI/ML talent.

The demand for senior machine learning engineers, and other AI specialists is skyrocketing, but the pool of qualified candidates remains distressingly shallow. Traditionally relied-upon methods for attracting skilled individuals, including offering high salaries and recruiting from competitors, are proving to be unsustainable and may not yield desired results.

One of the reasons why companies are struggling to find qualified candidates is that there simply aren’t enough skilled professionals available. Senior ML engineers generally have 5+ years of experience. This means that 5 years ago, there should have been thousands of ML graduates going into thousands of entry-level ML jobs….those jobs didn’t exist and neither did the graduates. So, this is a problem with a physical limitation that can’t be remedied unless we invent a space and time machine! Therefore, companies have three choices: compete for talent and pay ridiculous salaries, wait to hire (which isn’t really a solution and can cost your company), or train talent that’s a “near neighbor” and ‘upskill’ them to be AI/ML engineers.

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Is a Master's in Computer Science Worth It?

May 14, 2024 11:41:25 AM / by Kristen Capuzzo


Whether a master's degree in computer science is worth it depends on various factors, including your career goals, current qualifications, and personal circumstances. You may be thinking about the value it holds in today’s careers or whether you truly need a masters degree in CS. If that’s the case, here are some considerations that should help you make your decision:

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Could DevOps be a Career for Me Part 2: How to Become a DevOps Engineer

Feb 27, 2024 8:25:35 AM / by Kristen Capuzzo


Different personality types are better suited for different careers, and that's okay! Choosing to become a DevOps Engineer is a big choice and you should consider the skills necessary to be successful and the job titles/requirements in the field to determine if it's right for you. It's like being a firefighter in the software world - it's not for everyone, but it's for some and they love it. Sometimes individual work, sometimes team work.

DevOps can be a rewarding career choice for individuals who have a passion for both software development and IT operations. If you find yourself interested in the following aspects, DevOps might be a suitable career path for you:

  1. Bridging development and operations:
    If you enjoy working at the intersection of software development and IT operations, DevOps offers an opportunity to bridge these areas. You will have the chance to collaborate with both development and operations teams, understanding their needs and finding solutions that align with both sides.

  2. Automation and efficiency:
    If you are passionate about automation and finding ways to streamline processes, DevOps is a great fit. DevOps emphasizes automating repetitive tasks, deploying applications efficiently, and optimizing workflows, resulting in increased efficiency and reduced manual effort.

  3. Continuous learning and improvement:
    DevOps is a dynamic field that requires individuals to continuously learn and adapt to new technologies, tools, and practices. If you enjoy staying up-to-date with industry trends, experimenting with new tools, and continuously improving processes, DevOps provides ample opportunities for growth and learning.

  4. Problem-solving and troubleshooting:
    DevOps Engineers often face complex challenges in managing infrastructure, deploying applications, and resolving issues. If you enjoy problem-solving and troubleshooting, DevOps will provide you with opportunities to apply your analytical skills and find solutions to technical problems.

  5. Collaboration and communication:
    Collaboration and effective communication are crucial in the DevOps culture. If you enjoy working in cross-functional teams, collaborating with developers, operations personnel, and other stakeholders, and are skilled at fostering effective communication, DevOps can provide a suitable career environment.

  6. Agility and adaptability:
    DevOps embraces agility and the ability to adapt to changing requirements and technologies. If you thrive in fast-paced environments, enjoy working on multiple projects simultaneously, and can quickly respond to evolving needs, DevOps offers an environment that values these qualities.

It's important to note that a career in DevOps requires continuous learning and the willingness to embrace new technologies and practices. It's beneficial to gain a solid understanding of software development principles, system administration, and networking concepts, as well as familiarize yourself with tools and technologies commonly used in the DevOps space.

By acquiring the necessary skills, certifications, and experience, you can establish a successful career as a DevOps Engineer or in related roles such as DevOps Consultant, Site Reliability Engineer (SRE), or Cloud Engineer. According to Glassdoor, “The national average salary for an Entry Level DevOps Engineer is $90,868 per year in the United States.”

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Could DevOps Be a Career for Me Part 1: What is DevOps?

Feb 27, 2024 8:25:09 AM / by Kristen Capuzzo


There’s lots of talk about software engineers and the demand for software talent, but there are thousands of open jobs in DevOps on any given day in the United States. It’s a high-demand, hard-to-hire role that honestly, is not the most ‘sexy’ tech job out there, but one that is well paid and with strong career growth.

So what is a DevOps Engineer, and what do they do? Let’s dive in.

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What Are Guardians and Who Are They?

Feb 26, 2024 7:42:38 AM / by Kristen Capuzzo


Qwasar uses a program called Guardians of the Galaxy to help facilitate peer to peer learning and peer mentoring - more advanced students helping new students.

Being a Guardian is a great opportunity to develop your leadership skills, give back to the community, widen your network, and learn from managers.

Guardians are senior students at Qwasar who have shown determination and drive to help others. They are chosen to lead and guide students on their coding journey. These students act as the mentors for newer students in the Qwasar community who are just beginning their journey into programming. When starting something new or switching careers, it can be overwhelming, so we give students the opportunity to engage and connect with one another for help on their assignments.

Let’s dive into what it means to be a Guardian and why the program exists.

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Why It’s So Difficult to Find Senior Machine Learning Engineers

Feb 20, 2024 11:16:53 AM / by Jennifer Robertson


Undoubtedly, 2023 was the year of AI - AI went mainstream, the number of AI companies exploded, as did funding for and investments in AI companies.

It was also the year that the number of machine learning engineer jobs went through the roof compared to previous years.

It’s not just interest in ML jobs that has grown, but the actual number itself has exploded.

LinkedIn listed AI Engineer as one of the Top 10 Fastest Growing Roles for 2024 in a recent article this month.

Georgetown's Center for Security and Emerging Technology just released a data analysis that AI developer/engineer jobs increased by 25.8% from 2018 to 2022, surpassing 5 million jobs.

The growth of the number of jobs has made it very difficult to hire - and it’s not just that technologies such as OpenAI, Mistral AI, Bard and other models with APIs are so new.

Companies want Senior Machine Learning engineers, not mid-level, junior, or entry-level.

So why is it so hard to hire a Senior Machine Learning Engineer?

Let’s take a quick look to find out.

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Why We Do Coding Collaboration Sessions at Qwasar

Feb 1, 2024 8:26:31 AM / by Kristen Capuzzo


Qwasar uses a modern learning approach, meaning learning is focused on developing skills and competencies through applied, experiential learning. Most humans actually learn best in this manner, and it is a very different system than the traditional lecture-exam model.

Collaboration is one of those highly-sought after “soft skills” that employers want and that bosses want you to have. It is not something that is learned through lectures or videos - you have to actually do it and be placed in situations and scenarios to actually collaborate with others.

With that, every week at Qwasar, we run Coding Collaboration Sessions, which offer learners an opportunity to work on problems together and collaborate.

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2023 Saw Growth, Revenue. 2024 Set for Further Expansion.

Jan 25, 2024 8:59:52 AM / by Jennifer Robertson


What a year 2023 was and what does 2024 hold?! 2023 was decisively the year that killed a LOT of bootcamps, apprenticeships, and competitors - but for Qwasar, we had a pretty great year. As we look at the next 12 months, we wanted to take a look back at 2023 and share some company progress.

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Your 6 Step Guide to Become an AI ML Engineer

Jan 16, 2024 9:06:17 AM / by Kristen Capuzzo


You’ve made the decision to become an AI/ML engineer - now it’s time to put it into action. We’ve developed this 6-step guide to follow in order to approach the process of becoming a well-rounded engineer, ready to tackle an industry career.

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How Does a Master's Degree in Computer Science Work?

Jan 12, 2024 8:52:56 AM / by Kristen Capuzzo


In this post, we do a deep dive into how our Master’s degree works, the program format, student experience, and what to expect, as well as tuition and scholarships.

Our program works differently than other programs: most programs focus on lectures and exams. We focus on programming, building software, and developing on-the-job competencies.

Read on to discover how our program works.

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