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