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Graduate AI/ML and Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

New graduates
Open to new graduatesJob title: Graduate AI/ML and Data Engineer (m/f/d)

What you’ll work on

Full posting
  • Develop and learn data pipelines using REST APIs, gRPC and Kafka

  • Support ETL process development and data transformation tasks

  • Explore and develop machine learning models in Python, TensorFlow and PyTorch

  • Perform data preprocessing and feature engineering for ML projects

  • Support MLOps implementation and model monitoring

From the employer’s posting
You will Learn and work with data pipelines using REST APIs, gRPC, and Kafka
Support ETL process development and data transformation tasks
Explore and develop machine learning models using Python, TensorFlow, and PyTorch
Perform data preprocessing and feature engineering for ML projects
Explore and support MLOps implementation and model monitoring

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Physics or related field
  • Strong Python, Java and C++ programming skills
  • Basic understanding of machine learning concepts and algorithms
  • Familiarity with databases and SQL basics
  • Good communication skills in English
Qualification wording
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field
Strong Python, Java and C++ programming skills and passion for learning
Basic understanding of machine learning concepts and algorithms
Familiarity with databases and SQL basics
Good communication skills in English
Education & alternatives
To be successful in the role you must have - Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field - Strong Python, Java and C++ programming skills and passion for learning
Apply at Ericsson

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

Ericsson is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 7% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Java
  • Python
  • SQL
  • Docker
  • Kafka
  • NoSQL
  • NumPy
  • pandas
  • PySpark
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field - Strong Python, Java and C++ programming skills and passion for learning - Basic understanding of machine learning concepts and algorithms
- Support ETL process development and data transformation tasks - Explore and develop machine learning models using Python, TensorFlow, and PyTorch - Perform data preprocessing and feature engineering for ML projects
Additional beneficial experience - Experience with Python libraries like pandas, numpy, or scikit-learn - Familiarity with machine learning frameworks (PyTorch or TensorFlow)
- Perform data preprocessing and feature engineering for ML projects - Work with different types of databases (SQL, NoSQL, vector databases) - Learn data processing with PySpark for larger datasets
- Basic understanding of machine learning concepts and algorithms - Familiarity with databases and SQL basics - Good problem-solving skills and logical thinking
- Exposure to Docker or containerization concepts - Knowledge of SQL and relational databases - Hackathon or internship experience
- Any personal projects involving data analysis or machine learning - Exposure to Docker or containerization concepts - Knowledge of SQL and relational databases
You will - Learn and work with data pipelines using REST APIs, gRPC, and Kafka - Support ETL process development and data transformation tasks
- Work with different types of databases (SQL, NoSQL, vector databases) - Learn data processing with PySpark for larger datasets - Participate in data quality and validation practices
- Experience with Python libraries like pandas, numpy, or scikit-learn - Familiarity with machine learning frameworks (PyTorch or TensorFlow) - Basic knowledge of Git and version control

Your next step

Complete your application on ericsson.eightfold.ai. The employer’s form will show what is required.

Applying through Eightfold

  • You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.

Already applied? Track this application

Has Ericsson posted this job before?

Yes. We’ve followed one other Graduate AI/ML and Data Engineer job there since November 2026. It is still up.

  1. ["State/Province"Still up after 2 days, first seen Nov 2
  2. This jobUp 2 days so far, first seen Nov 2

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills. You will work on real data pipelines, explore machine learning models, and gain hands-on experience in building AI solutions for Ericsson's 5G networks. This is a great opportunity to start your career with guidance from experienced engineers.
You will be part of a collaborative AI development team working on cutting-edge AI and data technologies. You will receive mentorship and guidance from senior engineers while working on real projects. You will learn the full lifecycle of data and AI systems—from design to production!

 

You will

  • Learn and work with data pipelines using REST APIs, gRPC, and Kafka
  • Support ETL process development and data transformation tasks
  • Explore and develop machine learning models using Python, TensorFlow, and PyTorch
  • Perform data preprocessing and feature engineering for ML projects
  • Work with different types of databases (SQL, NoSQL, vector databases)
  • Learn data processing with PySpark for larger datasets
  • Participate in data quality and validation practices
  • Explore and support MLOps implementation and model monitoring
  • Participate in code reviews and learn from senior team members
  • Collaborate with mentors and team on solving real data challenges

 


To be successful in the role you must have

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field
  • Strong Python, Java and C++ programming skills and passion for learning
  • Basic understanding of machine learning concepts and algorithms
  • Familiarity with databases and SQL basics
  • Good problem-solving skills and logical thinking
  • Ability to learn quickly and take on new technical challenges
  • Good communication skills in English
  • Willingness to work in a team and receive feedback

 


We also hope to see the following characteristics in you

  • Passionate about learning AI and machine learning
  • Enjoy working with data and solving data-driven problems
  • Curious and eager to explore new technologies
  • Willing to learn and tackle technical challenges
  • Enjoy collaborating with teammates and asking questions
  • Interested in distributed systems and scalability
  • Growth mindset and want to develop your skills
  • Interested in telecom or networking technologies

 


Additional beneficial experience

  • Experience with Python libraries like pandas, numpy, or scikit-learn
  • Familiarity with machine learning frameworks (PyTorch or TensorFlow)
  • Basic knowledge of Git and version control
  • Understanding of REST APIs or microservices concepts
  • Any personal projects involving data analysis or machine learning
  • Exposure to Docker or containerization concepts
  • Knowledge of SQL and relational databases
  • Hackathon or internship experience

 


What's in it for you?


Launch your career at a global technology leader building next-generation 5G networks. You will learn from experienced engineers, work on real production systems, and develop expertise across the full AI and data engineering stack.

Our team is committed to helping you grow and succeed. You will have mentorship, opportunities to learn new technologies, and access to hackathons and innovation initiatives. You will be part of a diverse, international team working on problems that impact people worldwide.

 

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

 

Primary country and city: Germany (DE) ||

Req ID: 793799  

 





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