The Senior ML Engineer is primarily responsible for high-quality Python and SQL scripts needed to bring machine learning solutions to life. As a key team member, you will work with 1-3 other developers and engineers to gather project requirements, collaborate on solution design and strategy, identify essential architectural components, organize tasks, and contribute directly to all parts of the codebase. As a senior member of a highly professional team, you will work on all aspects of the project lifecycle encompassing everything from data discovery to performance monitoring and executive communications.
Responsibilities:
- Organize project tasks, requirements, documentation and progress through Jira and Confluence.
- Work with stakeholders to gather requirements, communicate status and share insights.
- Build high-quality Tableau dashboards to help end users engage with model output and understand recommendations.
- Perform data discovery and analysis to explore and define new use cases.
- Use applied mathematics and quantitative skills as needed for modeling tasks, impact analysis, scenario planning, forecasting etc.
- Develop, train, and deploy statistical and machine learning models for revenue, campaign optimization, customer LTV, click propensity, action sequencing, personalization, and segmentation.
- Maintain an organized code base using GitHub, Jira and Confluence.
- Develop solution modules and subsystems for preprocessing, measurement, drift, error handling, and anomaly detection.
- Develop data pipelines by creating efficient data models, writing high-quality ETL/SQL, building Alteryx workflows, managing tickets, and collaborating with partners.
- High proficiency in Python with 5+ years of development experience in modeling or data engineering
- Excellent knowledge of SQL with 5+ years of experience in database and data validation
- Working knowledge of Tableau with 2+ years of experience using BI tools for analysis and presentation
- Working knowledge of Alteryx
- Hands-on experience with deep learning architecture, e.g. transformers, LSTMs and convolutions
- 2+ years of experience working with DL frameworks like PyTorch and Tensorflow
- Wide familiarity and experience with statistical and mathematical concepts, esp. probability, systems of equations (LA), and optimization theory
- Firm understanding of model containerization with some experience using Docker
- Familiarity with the AWS ecosystem preferred: Redshift, S3, EC2, Sagemaker and Lambda
- Strong track record communicating with partners and stakeholders at all levels
- Independent, organized, accountable and proactive
Our benefits include: Medical, life and dental insurance, Asociación Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
