WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!
業務内容:
WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!
応募資格:
5+ years of practical experience with AI/ML technologies and libraries, such as PySpark, Pandas, NumPy, LangChain, Hugging Face, and LLM/RAG integration and prompt engineering
3+ experience working with GenAI / Large Language Models (LLMs) such as OpenAI and Copilot, and integration via API
Proven hands-on ownership of production ML pipelines
Experience with feature engineering on large, structured datasets
Strong hands-on experience with cloud technologies, preferably Azure, including services for data engineering, ML training, deployment, storage, and secure production operations
Business Impact First: Strong focus on solving real-world problems and measuring ML success using business KPIs, not just offline metrics
AI/ML Fundamentals: General understanding of statistics and AI principles to support practical engineering (not deep research-level)
Programming: Proficiency in Python (for AI/ML)
Azure AI Stack: Hands-on experience with Azure Machine Learning, Azure AI Foundry, and Azure OpenAI Service
Data Proficiency: Strong understanding of Azure Data Lake Storage (ADLS) and Synapse Analytics. Experience working with Parquet files and large-scale datasets
Backend & NoSQL: Experience developing with Azure Functions and managing data in CosmosDB
DevOps: Knowledge of CI/CD tools (Azure DevOps/GitHub Actions) for automating AI model lifecycles
歓迎条件:
Experience in the Insurance or Financial Services sector
Ability to derive actionable insights from complex customer datasets to drive business growth
Background in building Retrieval-Augmented Generation (RAG) systems
Familiarity with distributed data processing on Spark