How do I apply for the Internship - AI/ML Engineer - Intelligent Analytics position at Counting the Apples and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Internship - AI/ML Engineer - Intelligent Analytics role?

This position is a full-time, structured as a on-site role.

What educational background or degree level is required for the Internship - AI/ML Engineer - Intelligent Analytics at Counting the Apples?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Counting the Apples provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Internship - AI/ML Engineer - Intelligent Analytics

Counting the Apples

Found 1 day ago

Location

Munich, Germany

Time

Full-time

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 day ago

Education

Bachelor

Skills & Qualifications

Technical Skills

machine learning
Python
Java
Swift
data analytics
data pipelines
automation
analytics frameworks
scalable architectures
AIML solutions
deep learning frameworks
PyTorch
TensorFlow
Keras
data engineering
Spark
Hadoop
Hive/Impala
Ops tools
Kubernetes
Docker
Airflow
deploying models
SQL
data modeling
vector databases
embeddings
RAG pipelines
large-scale data processing

Soft Skills

problem-solving
analytical
communication skills

Job Description

In this role, you will design and implement the next generation of data analytics while building robust pipelines that transform massive datasets into actionable insights. You will create automation and analytics frameworks that help teams across Apple make smarter, faster decisions, and collaborate with a global team of engineers to deliver scalable architectures and cutting-edge AIML solutions. This innovation-driven environment will inspire you to explore, prototype, and make real impact.

Requirements

Strong foundation in machine learning (supervised/unsupervised, similarity learning, embeddings, clustering, etc.).
Hands-on experience with Python (preferred), Java, or Swift.
Excellent problem-solving, analytical, and communication skills.

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

Strong foundation in machine learning (supervised/unsupervised, similarity learning, embeddings, clustering, etc.).
Hands-on experience with Python (preferred), Java, or Swift.
Excellent problem-solving, analytical, and communication skills.
Practical knowledge of deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Experience with data engineering for data pipelines (Spark, Hadoop, Hive/Impala, or similar).
Familiarity with Ops tools (Kubernetes, Docker, Airflow) and deploying models at scale.
Strong understanding of SQL and data modeling for analytics.
Experience with vector databases, embeddings, RAG pipelines, or large-scale data processing

Apply Now

46148Open Positions

Open Positions

46148Open Positions

Internship - AI/ML Engineer - Intelligent Analytics

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

Nice to Haves