Data Scientist / Machine Learning Engineer

Requisitos

• Production ML Experience: 2+ years of professional experience building, deploying, monitoring, and maintaining production ML models in re..
• Programming & Data Languages: Strong Python programming skills along with advanced SQL capabilities
• Enterprise ML Platforms: Experience utilizing AWS SageMaker or equivalent enterprise ML platforms (such as Google Vertex AI or Azure ML)..
• Version Control & Autonomy: Proficient with Git for version control and a demonstrated ability to work independently within production se..

Desejáveis

• MLOps Ecosystem: Familiarity with MLOps and orchestration tools such as MLflow, Apache Airflow, or dbt (Data Build Tool)
• Data Warehousing: Hands-on experience working with Snowflake
• Domain Expertise: Prior background in marketing, growth, experimentation, or causal inference
• Generative AI: Practical experience working with LLMs (Large Language Models) or autonomous AI agents
• Methodologies: Experience operating within Agile development environments