Senior AI Engineer – All Genders

Eraneos Germany

Senior AI Engineer developing and operationalizing machine-learning and LLM solutions for Eraneos’ DAX and Fortune Global 500 clients. Building scalable production systems through software engineering, cloud, and MLOps practices.

Posted 8/5/2026full-timeHamburg • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operationalizing AI models, with a strong focus on machine learning frameworks, data-driven solutions, and effective communication of results to diverse audiences. Proficient in deploying AI systems and ensuring scalability and reproducibility through MLOps practices.

Highest-signal resume keywords

AI Model DevelopmentMachine Learning FrameworksMLOps PracticesFluency in PythonNLP and LLM Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatisticsMachine LearningSoftware EngineeringModel ServingCI/CD WorkflowsSQLPipeline DesignClean Code PracticesNLP

Soft Skills

CollaborationCommunication

Tools & Technologies

MLflowAirflowDockerGitHub ActionsFastAPISQLAlchemyPydanticAWSAzureGoogle Cloud

Industry Keywords

AI SolutionsData-Driven ApproachesEnd-to-End SolutionsBusiness ImpactReal-World Environments

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDockerPythonSQL

About the role

Key responsibilities & impact

Develop and operationalize AI models that deliver measurable impact for clients
Collaborate with stakeholders to understand business problems and transform them into data-driven approaches
Translate insights into production-ready end-to-end solutions
Design, implement, and evaluate AI and ML use cases, from classical machine learning to LLMs
Deploy and monitor AI and ML systems in real-world environments
Build prototypes and apply MLOps practices
Develop software and integrations ensuring reproducibility, scalability, and continuous improvement
Communicate results clearly to technical and non-technical audiences
Create lasting business impact for clients through AI solutions

Requirements

What you’ll need

Proven experience in data science, statistics, machine learning, software engineering, and/or applied AI projects
Fluency in Python
Experience with state-of-the-art and common machine learning frameworks and libraries
Experience with model serving, monitoring, and CI/CD workflows
Knowledge of MLflow, Airflow, Docker, and GitHub Actions
Ability to write clean, maintainable code using modern software engineering practices
Experience with FastAPI, SQLAlchemy, and Pydantic
Hands-on experience with NLP and LLMs such as GPT, Claude, Gemini, Llama, or Deepseek
Knowledge of SQL and databases
Ability to design efficient pipelines for training and inference
Familiarity with ML stacks on AWS, Azure, or Google Cloud
Fluent German at C1 level
Fluent English

Benefits

Comp & perks

Above-average remuneration
Hybrid working models
Flexible working hours
Option to work from home
Open, collaborative culture with flat hierarchies
Tailored learning opportunities
Individualized career paths
Dedicated support for professional and personal development
Regular cross-office and international company events
Flexible working models
Opportunity to take a sabbatical where appropriate
Company Bike program
Subsidized EGYM Wellpass membership
Modern, centrally located offices
Complimentary drinks, fresh fruit, snacks, and premium coffee
After-work beer with colleagues