AI/NLP/Data Engineer
Back to Jobs
JobgetherGet Smart Job AI Coach in the appFree on iOS and Android 



Google


AI/NLP/Data Engineer
Location
Germany
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI/NLP/Data Engineer based in Germany.
This role offers the opportunity to build advanced AI and natural language processing solutions that transform digital customer experiences. You will design, develop, and optimize machine learning models, data pipelines, and intelligent automation systems that support real-world business applications. Working at the intersection of AI research and production engineering, you will help create scalable solutions using modern technologies and cloud infrastructure. The position combines technical innovation, experimentation, and hands-on development to bring AI capabilities from concept to deployment. You will collaborate with engineering teams to improve model performance, build reliable AI platforms, and solve complex data challenges. This is an exciting opportunity for an AI-focused engineer passionate about creating practical, impactful machine learning solutions in a fast-growing environment.
### Accountabilities
- Build, improve, and deploy NLP, generative AI, and machine learning models that support intelligent digital engagement solutions.
- Develop scalable infrastructure for AI modeling, experimentation, training, deployment, monitoring, and continuous improvement.
- Design and maintain data processing pipelines, AI trainer tools, and workflows that enable efficient model development.
- Research, prototype, and implement algorithmic improvements to enhance model accuracy, performance, and scalability.
- Develop machine intelligence solutions tailored to customer needs and industry-specific use cases.
- Monitor, debug, and optimize AI models running in production environments.
- Collaborate with platform and engineering teams to create tools and capabilities that accelerate AI development and deployment.
- Contribute to technical documentation, knowledge sharing, and internal training initiatives related to AI and machine learning.
- Make thoughtful technology decisions that balance innovation, scalability, and business impact.
## Requirements
- 3+ years of experience in AI, machine learning, NLP, data engineering, or related technical fields.
- Master's degree or equivalent experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Science, or a related discipline.
- Proven experience building production-quality AI systems involving generative AI, NLP, speech processing, deep learning, or similar technologies.
- Strong software engineering skills with experience developing reliable, scalable applications.
- Experience designing and deploying machine learning models with limited training data.
- Strong understanding of AI/ML development workflows, experimentation frameworks, and model deployment practices.
- Ability to quickly learn new technologies, research emerging techniques, and turn ideas into production-ready solutions.
- Experience working with Python and machine learning frameworks such as PyTorch.
- Familiarity with cloud environments such as AWS or Google Cloud Platform.
- Experience with technologies such as Linux, Airflow, Docker, or Node.js is a plus.
- Strong communication skills with the ability to collaborate effectively in a dynamic, cross-functional environment.
- Passion for improving AI systems and building robust, scalable machine learning solutions.
## Benefits
- Competitive salary package with equity opportunities.
- Comprehensive medical, dental, and vision benefits.
- Unlimited paid time off policy.
- Fully remote work-from-home opportunity.
- Access to modern development tools, hardware, and collaboration platforms.
- Opportunity to work with cutting-edge AI, NLP, and machine learning technologies.
- Collaborative team environment focused on innovation and continuous learning.
- Opportunity to make a significant impact by developing practical AI solutions at scale.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
[Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works)
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
Key Responsibilities
- Build, improve, and deploy NLP, generative AI, and machine learning models.
- Develop scalable infrastructure for AI modeling, experimentation, training, and deployment.
- Design and maintain data processing pipelines and AI trainer tools.
- Research and implement algorithmic improvements to enhance model accuracy and scalability.
- Monitor, debug, and optimize AI models in production environments.
- Collaborate with engineering teams to accelerate AI development and deployment.
- Contribute to technical documentation and internal training initiatives.
Requirements
- Master's degree in Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Computer Science
- or a related discipline
Skills Required
PythonPyTorchGenerative AINLPSpeech ProcessingDeep LearningMachine LearningAWSGoogle Cloud PlatformData EngineeringSoftware EngineeringCommunicationCollaborationProblem solvingAdaptabilityLinuxAirflowDockerNode.js
Benefits
- Competitive salary package
- Equity opportunities
- Comprehensive medical, dental, and vision benefits
- Unlimited paid time off
- Fully remote work
- Access to modern development tools and hardware
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.
Similar roles for you
Matched using this role's title and skills. Open the job search anytime to see every listing.

Data Scientist
Thomson Reuters
102,200–189,800 / Year
Full-timeEasy applyHybrid
United States of AmericaMid

Data Scientist
Slate Technologies
Full-timeEasy applyWork from Office
BengaluruSenior

Senior Data Scientist with AI product mindset
Hiflylabs
Full-timeEasy applyHybrid
BudapestSenior

Data Scientist
SLB
Full-timeEasy applyHybrid
PuneMid
Senior Business Data Scientist, AI/ML, Google Cloud
163,000–237,000 / Year
Full-timeEasy applyWork from Office
SunnyvaleSenior

Data Scientist
The Bosch Group
Full-timeEasy applyWork from Home
bengaluruSenior