5 Entry Level Machine Learning Jobs

The rapidly expanding field of machine learning uses statistical methods and data analysis to teach computers how to learn and make predictions or decisions without being explicitly programmed.

The need for employees with entry-level expertise in machine learning is growing as businesses and industries increasingly understand its usefulness. Here are five entry-level positions in machine learning that offer exciting opportunities for those looking to start a career in this field.

machine learning engineer

• 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 preprocessing, model evaluation, and deployment.
• Degree: Bachelor’s or higher in Computer Science, Data Science or 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 asked by people.

A few years ago, it was important to understand the low-level math details. Even today, math is essential if you want to be a researcher focused on improving… pic.twitter.com/5rrYQmUkPz

– Santiago (@svpino) 26 June 2023

data scientist

• 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 manipulation.
• Degree: Bachelor’s or higher in Data Science, Computer Science, Statistics or related field.
• Job Opportunities: Data scientists are in demand in a variety of industries, including finance, health care, marketing, and technology. Companies ranging from startups to large enterprises actively seek data science talent.

Related: 5 High-Paying Careers in Data Science

AI researcher

• Role: AI researchers focus on advancing the field of artificial intelligence through research and development.
• Required Skills: Strong knowledge of machine learning algorithms, deep learning frameworks – eg, tensorflow, pytorch – programming skills, data analysis and problem-solving abilities.
• Degree: Master or Ph.D. in computer science, artificial intelligence or a related field.
• Job Opportunities: AI researchers can work in academic or research institutions or join research teams within technology companies. The positions are available in both public and private sectors.

machine learning consultant

• Role: Machine learning consultants provide expertise and guidance to businesses in implementing machine learning solutions.
• Required Skills: Solid understanding of machine learning concepts, data analysis, project management, communication skills and the ability to translate business needs into technical solutions.
• Degree: Bachelor’s or higher in Computer Science, Data Science, Business Analytics or related field.
• Job Opportunities: Machine learning consultants can work for consulting firms, technology companies or as independent consultants. Opportunities exist in various industries willing to adopt machine learning.

RELATED: 11 tech jobs that don’t require coding skills

data engineer

• 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 – eg, AWS, Azure, GCP – and data warehousing.
• Degree: Bachelor’s or higher in Computer Science, Software Engineering or related field.
• Job Opportunities: Data engineers are in high demand across all industries, especially 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, degrees and job opportunities mentioned above are general guidelines and may vary based on specific companies, roles and sectors. While pursuing a career in machine learning it is advised that you research your skills and abilities and tailor them to the specific job requirements.