AI/ML Engineer - SOCEUR
BKO GERMANY STUTTGART 70569, Germany
USD 126K-277K Senior-level Full Time
Tasks
- Architect build and deploy generative AI models
- Architect build and deploy machine learning models
- Build MLOps infrastructure
- Build continuous integration and continuous deployment pipelines
- Deploy large language model and agentic AI capabilities
- Deploy secure model endpoints
- Develop retrieval-augmented generation frameworks
- Enable edge AI deployments
- Establish evaluation frameworks and guardrails
- Fine-tune large language models
- Implement error handling retries and fallback
- Implement model governance version control auditability and explainable AI
- Integrate vector databases
- Manage multi agent workflows
- Optimize high-performance computing workloads
- Optimize model inference
- Optimize workload for TPUs and GPUs
- Reduce hallucinations and biases
- Support stakeholders and provide technical advising
Perks/Benefits
Skills/Tech-stack
Agentic AI | BERT | BigQuery | Bitbucket | C++ | CI/CD | CUDA | Cloud Storage | Cloud platform | Continuous Deployment | Continuous integration | CuDF | Cupy | Dataflow | Docker | Embeddings | Explainable AI | Generative AI | Git | GitLab | Google Cloud | Google Cloud Platform | Hugging Face | JAX | Keras | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Context Protocol | NLP | NVIDIA GPUs | NumPy | Numba | OpenCV | Pandas | Podman | Prompt engineering | PyTorch | Python | RAG | Rancher | Rapids | Retrieval-Augmented Generation | Scikit-learn | TPU | Tensor Processing Units | Tensor processing | TensorFlow | Vector Databases | Vector Search | Version control | Vertex AI | XAI | XLA
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
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