Machine Learning Engineer
hace 4 semanas
We're seeking a highly skilled Machine Learning Engineer to join our team at MediaLab. As a key member of our engineering team, you will be responsible for ensuring the successful deployment and maintenance of our machine learning models.
Your primary focus will be on selecting and maintaining the framework for our ML workflow, optimizing models produced by data science, and productionalizing models to ensure efficient and scalable performance.
You will work closely with data science and business intelligence teams to source data, cleanse and prepare it, and ensure efficient training and tuning of models.
Key Responsibilities- Implement a robust ML framework for model development and deployment
- Collaborate with data science and business intelligence teams to source and prepare data
- Optimize models for cost-efficient performance at scale
- Productionalize models and store outputs in accessible formats
- Expose model outputs to applications through database connectors, RESTful APIs, or other solutions
- Manage scheduled retraining of models and validate outputs with data science
- 3-5 years of professional experience in ML Engineering or ML Ops, or as a data engineer with significant ML exposure
- Advanced Python skills, including experience building ML workflows or CI/CD pipelines
- Comfort with data science libraries such as pandas, numpy, and scipy
- SQL competence and experience with data cleansing
- Experience optimizing ML models at scale
- Experience working with data scientists to productionalize their models
- Familiarity with hyperparameter tuning and common statistical models
MediaLab is a media and technology company focused on acquiring and growing properties and global brands. We're a unique combination of private equity, holding company, and operating entity, with a growing presence in the US and Latin America.
We value diversity and are proud to be an inclusive, equal opportunity workplace.
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