Machine Learning Engineer - tasks, activities, salary

AI is growing at an explosive rate, and with it the need for Machine Learning Engineers. They are a key factor for the Development of intelligent systems. Many Occupational fields need machine learning engineersTherefore, they can be used in a wide range of industries. 37 % of companies state that ML projects are delayed or cannot be started at all due to a lack of suitable experts, which is why Temporary Work International here to help you.

From beginner to AI hero: What does a machine learning engineer do?

Machine Learning Engineers are part of the data science team. Their tasks include artificial intelligencewhich is responsible for machine learning. More Tasks of a machine learning engineer are the maintenance and improvement of artificial intelligence systems.

One Career in machine learning involves communication between the data science team and the data scientists. Data scientists develop models for the development of AI systems. Data science and machine learning are closely linked.

Areas of activity in machine learning:

Support for engineers and product managers.
Implementation of machine learning in the product.
Implementation of best practices to improve the existing machine learning infrastructure.
Analyze data sets to decide on the appropriate technique.
Creating algorithms based on statistical modeling methods.
Management of the infrastructure and data pipelines required to bring the code into production.
Have expertise in creating the applications - including machine learning algorithms.
Find problems that need to be solved to make the programs more effective.

Building the robots of tomorrow: The skills of a machine learning engineer

To understand better, what a Machine Learning Engineer (as it is quite complex if you have never dealt with it before), we show a few points of the job description here:

Designing and developing Machine learning systems and models.
Checking and ensuring data quality.
Conversion and conversion of Data science prototypes.
Visualization of data.
Research and selection of suitable data sets.
Training and retraining of ML systems and models.
Carrying out statistical analyses.
Improve models.
Analyzing algorithms.

There are many more Areas of activity in machine learningbut this should give you an overview of the general Job description of a machine learning engineer give.

Mastering the matrix: training a machine learning engineer

The qualification of a Machine Learning Engineers is Computer Science or a related field. A sound background in Computer programming, Data science and mathematics. For a Career in machine learning you will need a Bachelor's degree. A degree in computer science or a similar course such as statistics is also recommended.

With the computer science degree it is possible to work as Software Developer, Software Engineer and Data Scientist. An advanced degree in data science, software engineering or computer science will give you an advantage when applying for jobs.

The $$$ in ML: How much does a Machine Learning Engineer earn?

The Salary prospects for a machine learning engineer are good and at the beginning you can earn around € 41500 a year. After that, you can earn up to €65200 a year. If you work for a big company like Amazon or Apple, you can even earn up to €20,700.

It is also possible to work on a contract basis, which pays between €350 and €450 per day. However, salaries can vary depending on the type of job and experience.

Future-proof: Why machine learning engineers are in high demand

37 % of companies state that ML projects are delayed or cannot start at all due to a lack of suitable experts, therefore Temporary Work International here to help you. Our services:

We know how difficult it is, IT specialists because we have helped countless companies to fill positions in the field of machine learning. We have been working in this field for over 25 years, know exactly where these experts can be found and have a global talent pool.

Get in touch with us today!