The rapidly expanding field of machine learning uses statistical methods and data analysis to teach computers how to learn and make predictions or judgments without being explicitly programmed.
There is a growing need for employees with entry-level experience in machine learning as companies and industries increasingly understand its usefulness. Here are five entry-level machine learning jobs that offer great opportunities for those looking to launch their careers in the field.
Machine learning engineer
- The Role: Machine Learning Engineers develop, deploy, and maintain machine learning models and systems.
- Required Skills: Strong programming skills (Python, R, etc), knowledge of machine learning algorithms and frameworks, data manipulation, model evaluation, and deployment.
- Degree: Bachelor’s degree or higher in computer science, data science, or a related field.
- Job Opportunities: Machine learning engineers can work in industries such as technology, finance, healthcare, and e-commerce. Opportunities are available in both established companies and startups.
How Much Math Do You Need to Become a Machine Learning Engineer?
This is the most common question people ask.
A few years ago, understanding the ins and outs of low-level mathematics was crucial. Even today, mathematics is essential if you want to become a researcher focused on improving and… pic.twitter.com/5rrYQmUkPz
— Santiago (@svpino) June 26, 2023
data scientist
- The role: Data scientists analyze and interpret complex data sets to derive insights and build predictive models.
- Required Skills: Proficiency in programming (Python, R, etc.), statistical analysis, data visualization, machine learning algorithms, and data processing.
- Degree: BSc or higher in data science, computer science, statistics, or a related field.
- Job opportunities: Data scientists are in demand in various industries, including finance, healthcare, marketing, and technology. Companies ranging from startups to large organizations are actively seeking data science talent.
Related: 5 High-Paying Jobs in Data Science
AI researcher
- The role: AI researchers focus on advancing the field of artificial intelligence through research and development.
- Required Skills: Strong knowledge of machine learning algorithms and deep learning frameworks – eg, TensorFlow, PyTorch – Programming skills, data analysis and problem-solving abilities.
- Academic degree: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Employment opportunities: AI researchers can work in academia, research institutions, or join research teams within technology companies. Jobs available in both the public and private sectors.
Machine learning advisor
- The Role: Machine Learning Consultants provide expertise and guidance to companies in implementing machine learning solutions.
- Required Skills: Strong understanding of machine learning concepts, data analysis, project management, communication skills and the ability to translate business requirements into technical solutions.
- Degree: Bachelor’s degree or higher in computer science, data science, business analytics, or a related field.
- Employment opportunities: Machine learning consultants can work for consulting firms, technology companies, or as independent consultants. Opportunities exist in various industries seeking to adopt machine learning.
Related: 11 Tech Jobs That Don’t Require Coding Skills
Data engineer
- The Role: Data Engineers design and maintain data infrastructure, ensuring efficient storage, processing and retrieval of large data sets.
- Required Skills: Proficiency in programming (Python, SQL, etc.), database systems, data pipelines, cloud platforms – such as AWS, Azure, GCP – and data warehousing.
- Degree: Bachelor’s degree or higher in computer science, software engineering, or a related field.
- Job Opportunities: Data engineers are in high demand across industries, particularly in technology, finance, and healthcare. Both established companies and startups require data engineering expertise to handle large amounts of data.
Please note that the required skills, grades, and job openings listed above are general guidelines and can vary based on specific companies, roles, and regions. It is advisable to research and adapt your skills and qualifications to the specific job requirements when pursuing a career in machine learning.
