Senior Full-Stack ML Engineer (m/w/d)

Cint is a pioneer in research technology, and we're seeking a Senior Full-Stack Machine Learning Engineer who can bridge the gap between raw data and product impact. The role involves designing, developing, and deploying production-grade ML models using Python and Spark, as well as working with stakeholders to define business goals and translate them into technical ML objectives.

Requirements

• End-to-End ML Lifecycle: Design, develop, and deploy production-grade ML models using Python and Spark.
• Data Architecture & Pipelines: Build and maintain robust data pipelines within our Databricks environment.
• Exploratory Data Analysis (EDA) & Discovery: Dive deep into large datasets to uncover hidden patterns, anomalies, and opportunities.
• Statistical Rigor & Hypothesis Testing: Design and execute rigorous A/B tests and multivariate experiments.
• Metric Definition: Work with stakeholders to define what'success' looks like.
• Predictive Modeling & Insights: Create ad-hoc models to forecast business trends and provide actionable insights.
• Data Storytelling: Communicate complex findings through high-quality visualizations and dashboards.
• Product Impact: Collaborate with Product Managers to translate business goals into technical ML objectives.
• Collaborative Engineering: Work as a peer within the engineering team, applying software best practices.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance