AI/ML Engineer
A EUR 56K-79K (estimate) Senior-level Full Time
Tasks
- Build automated red teaming tools
- Deploy AI LLM features in security platforms
- Detect vulnerabilities and simulate adversarial attacks
- Develop MLOps pipelines for training and deployment
- Develop data preprocessing validation and monitoring workflows
- Document and present technical findings
- Fine-tune and evaluate language models
- Integrate AI security techniques into products
- Mitigate prompt injection and data poisoning
- Monitor model performance in production
- Optimize model inference speed and cost
- Research and develop LLMs
- Use RLHF to improve reliability and alignment
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Data poisoning | Deep learning | Distributed Computing | Hugging Face | Hugging Face Transformers | Human Feedback | Language Models | Large Language Models | Learning from Human Feedback | MLOps | Machine Learning | Machine Learning Pipelines | Model Monitoring | Pinecone | Prompt injection | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | TGI | TensorFlow | VLLM | Vector Databases | Weaviate
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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