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Diverse Consulting Group
AI

MLOps Engineer

Diverse Consulting Group · zdalnie, PL

Actively hiring Posted 5 months ago

Responsibilities

  • Create continuous integration templates tailored for model development ensuring version control, testing, and reproducibility of our actuarial pricing models and datasets
  • Close work with members of the ML Engineering team and actuaries to audit and optimize the reliability and scalability of the actuaries' model training pipelines
  • Develop effective monitoring strategies to track the performance, reliability, and efficiency of the system
  • Manage the end-to-end operation of the AI platform to guarantee high availability, responsive performance, and secure data handling during document ingestion and processing
  • Oversee the integration and management of cloud resources to optimize cost, performance, and compliance with security standards, thereby enabling continuous innovation on the platform

Basic qualifications

  • Bachelor's or Master's degree in Mathematics, Computer Science, Machine Learning, or related field
  • Mastery over Data Science frameworks (pandas, pyspark, sklearn and shap) and MLOPS frameworks (MLFlow, Kedro/Airflow, Hyperopt/Optuna and Great Expectations) in Python
  • Experience with building GenAI agentic workflows using Langchain or smolagents
  • Basic familiarity with Dashboarding tools (PowerBI/Tableau)
  • Strong understanding of DevOps methodologies (CI/CD) and experience implementing Github Actions (or similar) workflows
  • Experience with serving models with APIs using Flask or FastAPI
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)
  • Extremely high attention to detail and rigor
  • English - at least B2 level

Preferred qualifications

  • French - A2/B1
  • Private medical care
  • Co-financing for the sports card
  • Constant support of dedicated consultant
  • Employee referral program

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Ai Machine Learning Mlops
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