Description
You will build, prototype, and deploy production-grade machine learning and AI solutions that drive business impact.
Responsibilities
- Design and implement ML/AI features in collaboration with product and engineering teams.
- Clean, transform, and integrate data using SQL and Python to prepare it for analysis.
- Identify data quality issues and integrity problems to form and test hypotheses.
- Test models on test applications and production data to ensure alignment with business objectives.
- Translate project requirements into technical plans while assessing risks and constraints.
Required Skills
- 12+ years of experience in data science and machine learning.
- Deep expertise in Machine Learning and Artificial Intelligence.
- Proficiency in Python for data exploration, modeling, and production deployment.
- Strong command of SQL for data collection, manipulation, and integration.
- Experience with modeling techniques including linear/multiple regression, decision trees, neural networks, and support vector machines.
- Knowledge of statistical methodologies and appropriate application of analysis techniques.
- Understanding of data privacy policies and ethics in data collection.
Preferred Skills
- Experience productizing ML algorithms for production environments.
- Ability to identify insights from complex data sets to drive strategic decisions.