Machine Learning Infrastructure Engineer - Predictive Chemistry
New
Czechia, Slovakia or HungaryContractMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonGCPKubernetesNumpyPyTorchSnowflakePandasBigQuery
Requirements
- Mastery of Python
- Mastery of PyTorch, NumPy, Pandas
- Modern software development practices scaffolded by AI-coding agents for production purposes
- Proven experience building and maintaining production-grade Machine Learning infrastructure (Model registries, feature stores, and deployment patterns)
- Experience with container-native orchestration tools like Argo Workflows or Prefect
- Hands-on experience with BigQuery or Snowflake
- Familiarity with modern cloud environments (GCP preferred)
- Familiarity with Kubernetes
- Exceptional cross-functional communication
- Located in Czechia, Slovakia or Hungary
- Fluency in English (spoken and written)
Responsibilities
- Build and scale the infrastructure required to deploy state-of-the-art models (GNNs, Transformers) for chemistry and structural biology
- Manage and optimize Cloud-Native Data Warehouses (BigQuery/Snowflake) to handle petabyte-scale molecular data, ensuring high-concurrency access for analytical workflows
- Design and maintain robust data and ML pipelines using Argo or Prefect to ensure reproducible model training and inference
- Develop, train, and deploy cutting-edge predictive models within our specialized chemistry modeling platform
- Utilize Anyscale/Ray to manage distributed training and inference workloads across massive GPU clusters
- Architect and maintain LLM-based agentic systems to automate complex drug design reasoning and decision-making tasks
- Work closely with the core ML Infrastructure team to ensure chemistry-specific tools align with broader company engineering standards
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