Career Choices for Students Interested in Machine Learning

The impact of machine learning and ML systems continues to evolve production and operations across several industries. This has impacted the demand for machine learning professionals worldwide. As a subset of artificial intelligence (AI), the entire ML industry crossed over a billion dollars in market size last year. From this information alone, it’s understandable why many are pursuing a career in the field. If that’s the case for you, here are some top career choices.

Software Developer

Software developers use computer programs to write web and mobile apps to help businesses solve important challenges and can work individually or as part of IT operations teams using developer tools to generate real-world business solutions. The general software developer role has grown more complex as businesses demand more sophistication. Due to this demand, many developers now use DevOps and MLOps to strategize and develop custom-tailored software tools capable of training datasets and attributes. These tools enhance model monitoring, providing businesses with a reliable way of understanding unique challenges through data transformation. ML projects can also enhance a model’s effectiveness, improving prediction efficiency to automate any ML platform.

Data Scientist

Data has become essential in today’s digitally abundant world, and according to Glassdoor, data scientists have topped the best American jobs listings since 2016. However, a data manager’s regular role isn’t the easiest. In the world of business, new data is frequently produced, and statistics show that each individual produces 1.7 megabytes of new data every second. As data volumes increase, data preparation and audit efforts may become harder. Luckily, several ML systems and tools exist for training data and streamlining operations for data solutions.

Data teams use deep learning to mine, clean historical data, and optimize insights for one ideal solution after the other. This can be a tough job, and becoming a data scientist can take a long time and significant educational efforts. What’s more, data science is highly knowledge-based and may require higher education to score a career. Universities enroll high school students into data science programs based on academic merit. However, it’s essential to be conversant with an educational program’s admissions process before starting your enrollment journey.

You can enlist an admissions counselor from trusted organizations like Empowerly to increase your application’s success rate. Empower admissions provides students with personalized counseling to guarantee entry into their dream data science programs. Undergraduate data management can equip you with the core concepts of data engineering and best practices for data collection, which can help you score entry-level data science jobs. Furthermore, earning a master’s degree or Ph.D. in data science can bring a lot of opportunities at the higher level, earning up to $150,000 as the median salary.

Computational Linguist

Statistics reveal that 97 percent of mobile phone owners use AI-powered voice assistants, which have become essential for sight- and speech-impaired people. This also increases the demand for computational linguists, who use ML and AI algorithms to process written and spoken communications, making it possible for apps to recognize multiple language types. Additionally, speech recognition and machine transition platforms like Google Translate and Siri leverage the efforts of computational linguistics for improved operations.

Human-Centered Machine Learning Designer

Every time Amazon brings your favorite socks up after buying a new pair of sneakers online, you may have an ML designer to thank. Web and mobile users want seamless shopping experiences, and as ML and AI gain ground in today’s Industry 4.0 world, the use case benefits have become endless. It’s the role of human-centered machine learning designers to improve the recommendation model for you to continue enjoying the series Netflix throws at you. Financial reports reveal that Amazon saved a billion dollars in revenue due to personalized recommendations by human-centered machine learning designers.

All in all, machine learning has become essential for businesses and individuals, especially in today’s COVID-19 era. If you’re considering a machine learning career in the future, your aspirations are more than valid.