Machine Learning Engineer / Machine Learning Specialist

Talantir; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid/remote options

Access to cutting-edge AI technologies

Job summary

MarketMuse is seeking a Machine Learning Engineer to design, develop and deploy scalable ML models in Germany. You will work with large datasets, train and optimize models, and build robust ML pipelines for production environments.

The role offers hybrid work options and collaboration with cross-functional teams to advance AI-driven solutions across products.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI or related field.
• 2–5 years of machine learning or AI experience.
• Strong programming with Python and ML frameworks.
• Experience with data processing tools and cloud platforms.

Responsibilities

• Design, develop, and deploy ML models and algorithms.
• Work with large datasets to train, validate, and optimize models.
• Build ML pipelines and production systems.
• Collaborate with data scientists, engineers and product teams.
• Monitor model performance and improve accuracy over time.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Docker

Kubernetes

Cloud platforms

Education

Bachelor’s or Master’s in CS/AI

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Job Title: Machine Learning Engineer / Machine Learning Specialist

Location: Berlin / Munich / Frankfurt, Germany

Employment Type: Full-time

Company: MarketMuse

About the Company

MarketMuse is a forward-thinking technology company focused on building intelligent, data-driven solutions. We are looking for a passionate Machine Learning Engineer / Specialist to join our team in Germany and help develop scalable AI solutions.

Key Responsibilities

• Design, develop, and deploy machine learning models and algorithms
• Work with large datasets to train, validate, and optimize models
• Build and maintain ML pipelines and production systems
• Collaborate with data scientists, engineers, and product teams
• Perform feature engineering and model evaluation
• Monitor model performance and improve accuracy over time
• Stay updated with the latest advancements in AI and machine learning

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
• 2–5 years of experience in machine learning or AI-related roles
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn)
• Experience with data processing tools (Pandas, NumPy)
• Familiarity with MLOps, Docker, Kubernetes is a plus
• Experience with cloud platforms (AWS, Azure, or GCP)
• Strong analytical and problem-solving skills
• Fluent in English; German language skills are preferred

What We Offer

• Competitive salary aligned with the German AI/tech market
• Flexible working hours and hybrid/remote options
• Access to cutting-edge AI technologies and projects
• Professional development and learning opportunities
• Collaborative and innovative work environment