TL;DR
Senior Machine Learning Engineer (AI Engineering): Develops and improves machine learning algorithms using large datasets to address complex business questions, with an accent on enhancing existing ML algorithm performance and building end-to-end data pipelines. Focus on partnering with data scientists to discover new data sources and implementing experimental systems to evaluate model performance.
Location: Heredia
Company
hirify.global is a global company in data services, helping organizations and consumers manage risk and make informed decisions.
What you will do
- Develop machine learning algorithms using large datasets to solve challenging business questions.
- Improve the performance of existing ML algorithms.
- Partner with data scientists to discover new data sources and create new input features for ML models.
- Build end-to-end data pipelines for ML models.
- Implement experimental systems and evaluate model performance.
- Communicate results to partners.
Requirements
- Advanced degree in a quantitative field (Machine Learning, Data Science, Computer Science) or equivalent professional experience.
- 5+ years of work experience in data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, and Databricks.
- Experience with statistical modeling techniques, such as regression, support vector machines, and neural nets.
- Experience with Hadoop or Spark.
- Working knowledge of Data Science tools (e.g., Numpy, Pandas, Scikit, Tensorflow, Keras, R).
- Experience with version control systems (i.e., Git, GitHub) and writing production-ready code.
Culture & Benefits
- hirify.global's culture and people are important differentiators, focusing on DEI, work/life balance, and development.
- Offers a focus on authenticity, collaboration, wellness, reward & recognition, and volunteering.
- hirify.global is an Equal Opportunity and Affirmative Action employer.
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