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Machine Learning Infrastructure Engineer – Predictive Chemistry

Infrastructure EngineerInfrastructure EngineerFull TimeRemoteSeniorTeam 201-500Since 2014H1B No SponsorCompany SiteLinkedIn

Location

Czechia

Posted

43 days ago

Salary

0

Seniority

Senior

Job Description

Machine Learning Infrastructure Engineer – Predictive Chemistry

Nexer Tech Talent

• 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 • Design and maintain robust data and ML pipelines using Argo or Prefect • 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

Job Requirements

  • Mastery of Python and its scientific ecosystem (PyTorch, NumPy, Pandas)
  • 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 , optimizing complex SQL queries and managing large-scale analytical tables
  • Familiarity with modern cloud environments (GCP preferred) and Kubernetes
  • Exceptional cross-functional communication; the ability to explain infrastructure trade-offs to research scientists
  • Fluency in English (spoken and written)

Benefits

  • flexible working policy
  • remote work when it suits you and your assignment

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