MLflow jobs in Germany

In this role, you will develop scalable data platforms, optimize data solutions, and advise clients on cloud and DevOps topics. Additionally, you will take responsibility in projects and represent conet as an expert at industry conferences.

• Python
• Git
• Java
• Pandas
• Apache Kafka
• Linux
• Airflow
• Polars
• Apache Spark
• FastAPI
• +13

In this role, you will manage HPC and AI clusters, optimize their performance, configure job management systems like SLURM, and support users in training AI models while documenting solutions and creating reports.

• UNIX
• Kubernetes
• Linux
• Slurm
• Hyper-V
• GitLab
• VMware
• GitHub
• KVM
• Docker
• +14
• +15

In this role, you will develop complex AI systems, orchestrate AI agents, integrate LLMs, and build scalable GenAI applications for enterprise systems. You will design efficient workflows and evaluate your solutions.

• Python
• LangChain
• FastAPI
• LangGraph
• Pydantic
• Docker
• RESTful API
• Git
• MLflow
• Kubernetes
• +6
• +7

In this role, you will develop the first machine learning model for partner matching, enhance match rates through data-driven decisions, and optimize the data pipeline for long-term success.

• Python
• Apache Spark
• Vertex AI
• MLflow
• Airflow
• SQL
• Amazon SageMaker
• +3
• +4

In this role, you design and scale AI/ML architectures, develop proof of concepts for innovative technologies, and guide projects from initial idea to production deployment.

• Python
• PyTorch
• Google Cloud Platform
• Docker
• MLflow
• LangChain
• Kubernetes
• TensorFlow
• HuggingFace
• AWS
• +9

In this position, you will develop machine learning models for soil nutrient analysis and lead comprehensive data science projects for agronomic decisions based on real-time data.

• Python
• PyTorch
• scikit-learn
• Google Cloud Platform
• Docker
• AWS
• MLflow
• +4

In this role, you will develop innovative machine learning models for analyzing soil and sensor data, take ownership of complex projects, and collaborate closely with an international team to improve agricultural decision-making.

• Python
• Docker
• scikit-learn
• PyTorch
• MLflow
• +2

In this role, you will develop ML training and integration infrastructure for autonomous systems, optimize pipelines, and foster collaboration between ML and DevOps teams in multi-cloud environments.

• Kubernetes
• MLflow
• PyTorch
• C++
• Python
• TensorRT
• GitLab
• Kubeflow
• ONNX
• +5

In this role, you develop AI applications such as dialogue systems, semantic searches, RAG pipelines, and agents that are integrated into specialized applications while ensuring compliance with data protection regulations.

• Python
• TypeScript
• Docker
• Git
• Azure AI Foundry
• Kubernetes
• Kubeflow
• Bedrock
• Vertex AI
• Grafana
• +12

In this role, you will develop computer vision algorithms for 2D-to-3D object detection using drone data, integrate ML models, build ML pipelines, and visualize results for stakeholders.

• Google Cloud Platform
• PyTorch
• Kubernetes
• Vertex AI
• MLflow
• Argo Workflow
• Docker
• GitHub
• Python
• Git
• +7
• +8

In this role, you will own the reliability of our data infrastructure, design, implement, and maintain tailored integrations and scalable data pipelines using AI tools.

• Pandas
• Python
• Airflow
• Polars
• AWS S3
• Amazon EventBridge
• MLflow
• SQL
• Amazon SageMaker
• Claude
• +13
• +14

In this role, you will develop scalable microservices using Java and Spring Boot, integrate external services, expand semantic backend functionalities, and manage CI/CD pipelines in cloud environments.

• Spring Boot
• MLflow
• Kubeflow
• Argo Workflow
• Java
• Kubernetes
• Azure
• GitLab CI
• Google Cloud Platform
• Github Actions
• +8

In this role, you will design and implement a Databricks Lakehouse for the CRM domain, develop ETL pipelines, ensure GDPR compliance, and build BI solutions for customer forecasting.

• Salesforce
• Amazon Redshift
• Python
• Terraform
• MicroStrategy
• MLflow
• +2
• +3

In this role, you develop scalable AI architectures, translate business requirements into technical solutions, and manage the implementation of ML systems along with best practices for MLOps and data protection.

• AWS
• Python
• HuggingFace
• Google Cloud Platform
• Kubernetes
• Docker
• LangChain
• MLflow
• TensorFlow
• Java
• +8
• +9

In this role, you will develop machine learning models to optimize and accelerate multiphysics simulations in Digital Twin environments, collaborating closely with physicists and engineers.

• Python
• C++
• Fortran
• PyTorch
• TensorFlow
• Ansys
• MPI
• OpenMP
• MLflow
• +5