AI Engineer (m/w/d)
Machine Learning Reply GmbHGermany10 hours ago
Full-timeRemote FriendlyConsulting
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Job Description
We are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate combines expertise in software engineering with a strong interest in cloud-based AI solutions. You will support our clients by designing and implementing intelligent applications, leveraging both classical machine learning and state-of-the-art generative AI. We are seeking someone who understands software development best practices, is comfortable working in cloud environments, and shares our passion for Data and AI.
Responsibilities:
Join our team at Machine Learning Reply as a Consultant for AI Engineering in Munich or Berlin!
We are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate combines expertise in software engineering with a strong interest in cloud-based AI solutions. You will support our clients by designing and implementing intelligent applications, leveraging both classical machine learning and state-of-the-art generative AI. We are seeking someone who understands software development best practices, is comfortable working in cloud environments, and shares our passion for Data and AI.
Responsibilities:
- Design, build, and deploy systems into scalable production environments on cloud providers such as AWS, GCP, or Azure.
- Collaborate with data scientists, engineers, and client teams to translate business challenges into AI-driven solutions.
- Develop robust APIs and services around AI models using frameworks such as Flask, FastAPI, or Spring Boot.
- Integrate generative AI solutions (e.g., LLMs, vector databases, orchestration frameworks) into enterprise applications.
- Set up MLOps pipelines and CI/CD workflows to automate training, testing, and deployment of AI models.
- Ensure software quality through test automation, monitoring, and logging practices.
- Daily communication with the project team and clients to identify, design, and deliver appropriate solutions.
- Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.).
- Expand your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI.
- Collaborate with top technology partners in the cloud, AI, and automation ecosystem.
- Access to training, certifications, and interdisciplinary projects.
- Join a vibrant community with hackathons, conferences, and knowledge-sharing events.
- Award-winning office space in downtown Munich with great transport connections.
- Flexible working model between client site, Reply office, and remote work.
- Deutschlandticket for public transport and a gym subsidy.
- Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar).
- Ideally, you have already gained some initial consulting and project management experience Teamwork & Collaboration – ability to work effectively with others toward common objectives.
- Adaptability – flexibility in taking on different roles within a team and understand the need of the costumer
- Solid programming experience in at least two programming languages such as Python, Java, Rust, or JavaScript.
- Practical experience deploying ML/AI models into production environments (on-premises or cloud).
- Experience with different database technologies, including SQL and NoSQL, with knowledge of database design, data modeling, and data management.
- Experience with large language models (LLMs), prompt engineering, fine-tuning, and integrating generative AI into actual solutions.
- Strong communication skills for explaining technical concepts to both technical and business stakeholders.
- Fluent in English and at least B2-level German.
- Hands-on experience with cloud AI services.
- Understanding of MLOps concepts (model registry, monitoring, CI/CD).
- Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs.
- Awareness of software engineering principles (SOLID, testing, version control).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Cloud certifications are a plus.
- Teamwork & Collaboration – ability to work effectively with others toward common objectives.
- Adaptability – flexibility in taking on different roles within a team and understand the need of the costumer
Join our team at Machine Learning Reply as a Consultant for AI Engineering in Munich or Berlin!
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