Senior AI Engineer

DRIMCO GmbH; München; Hybride; EUR 90 000 - 140 000; Plein temps

Résumé du poste

DRIMCO GmbH is seeking a skilled AI/ML Engineer to build, deploy, and optimize production AI systems in a fast-paced startup environment. You will own end-to-end ML pipelines, from data ingestion to deployment and monitoring, collaborating with founders and cross-functional teams to ship reliable AI features.

Ideal candidates have 3+ years of hands-on experience with Python, PyTorch, and ML tooling, plus strong CS fundamentals in NLP/CV and a solid grasp of MLOps, cloud infra, and scalable

Qualifications

• 3+ years of experience building and running production AI/ML systems.
• Strong CS background with NLP/Computer Vision fundamentals.
• Hands-on Python experience with PyTorch and ML tooling.
• Experience with Docker, Kubernetes, and CI/CD for ML.
• Experience with MLflow and model monitoring.

Responsabilités

• Build, deploy, and maintain production AI systems.
• Own end-to-end ML pipelines: data ingestion, training, validation, deployment, monitoring.
• Optimize models for performance, scalability, and reliability.
• Collaborate with founders, engineering, and product teams to ship AI features.
• Monitor live models, retrain, and improve model quality over time.
• Improve MLOps and deployment infrastructure.

Connaissances

Python programming

ML/AI systems

NLP/CV fundamentals

MLOps mindset

Cloud infrastructure understanding

Outils

Docker

Kubernetes

MLflow

Docker Compose

Graph databases

CI/CD for ML

Description du poste

Responsibilities:

• Build, deploy, and maintain production AI systems.
• Take ownership of end-to-end ML pipelines (data ingestion, training, validation, deployment, monitoring).
• Optimize models for performance, scalability, and reliability.
• Work closely with founders, engineering, and product teams to ship AI features.
• Monitor live models, handle retraining, and improve model quality over time.
• Improve our MLOps and deployment infrastructure.

Requirements:

• 3+ years of experience building and running production AI / ML systems.
• Strong Computer Science background and understanding in Natural Language Processing / Computer Vision.
• Solid hands-on experience with Python, PyTorch, SQL, graph databases, load balancing, etc.
• Experience tracking experiments and models using, e. g., MLflow.
• Strong understanding of AI foundations, LLMs, and model internals.
• Practical experience deploying AI systems using Docker, docker-compose and Kubernetes.
• Familiarity with model monitoring, versioning, and CI/CD for ML.
• Deep understanding and practical experience of basic (Gen)AI approaches, e. g., RAG.
• Practical experience with a multi-agent AI system is a plus.
• 3+ years of work experience with Machine Learning.
• 3+ years of work experience with Python (Programming Language).
• 1+ years of work experience with AI Agents.
• Experience scaling ML systems in production.
• Strong MLOps mindset.
• Cloud infrastructure experience (AWS, GCP, Azure).
• Experience in a startup or product-driven environment.
• Experience owning AI features end-to-end production-grade.
• Experience with MCP / A2A protocol and agentic frameworks is a plus.
• DevOps experience is a plus.
• Experience with the ETL process is a plus.