ML Engineer
Debrecen, Hajdú-Bihar, HU, 4024
HUF 7500K-9000K (estimate) Mid-level Full Time
Tasks
- Build feature stores and evaluation harnesses
- Collaborate with data engineers to maintain large scale data infrastructure
- Collaborate with data scientists to validate and scale algorithms
- Contribute to compliance with AI governance standards
- Deliver on agile backlog commitments
- Design build and maintain MLOps pipelines
- Design build and operate generative AI and LLM applications
- Develop reusable components for ML project workflows
- Implement CI/CD for models
- Implement monitoring and observability for models
- Industrialize machine learning solutions at scale
- Maintain data quality evaluation frameworks
- Manage model lifecycle and model registry
- Optimize cost and latency for LLM applications
- Support responsible AI model risk management and explainability
- Track data drift and model drift
Perks/Benefits
Skills/Tech-stack
CI/CD | Databricks | Docker | Hugging Face | Infrastructure as Code | Kubernetes | LLM Evaluation | LLMOps | Langchain | Llamaindex | MLOps | MLflow | NumPy | Observability | Pandas | Prompt management | PyTorch | Python | Ray | SQL | Scikit-learn | Spark | TensorFlow | Vector Databases | Version Management | “as-code”
Education
N/A
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