Resonate is looking for a Machine Learning Software Engineer to support their Engineering team in designing and developing AI-powered consumer data and intelligence solutions.
Requirements
- Experience must include 1 year in each of the following: Amazon EMR for ETL pipelines; Scala/Spark for large scale data transformation (ETL); Linux based systems, Docker, and code versioning tooling (Git, CI/CD); Python; Pandas; Numpy; PyTest; and machine learning frameworks and the data and computation management mechanisms that surround them in a cloud environment (AWS).
Responsibilities
- Design and develop robust data ingestion and processing pipelines using Apache Spark, Scala, Python, and AWS cloud services.
- Oversee the production, quality assurance, and maintenance of data systems, ensuring efficient data flow and reliability.
- Collaborate with product management and data teams to implement Machine Learning feature pipelines for model training and scoring, leveraging Amazon SageMaker and TensorFlow where applicable.
- Analyze large datasets to derive insights that enhance feature development and optimize machine learning models.
Other
- Master’s degree in Business Analytics, Information Systems, Computer Science, or a closely related technical field plus 1 year experience in software engineering or Bachelor’s degree in Business Analytics, Information Systems, Computer Science, or a closely related technical field plus 5 years’ experience in software engineering.
- Ownership: You take initiative, follow through, and hold yourself accountable.
- Collaboration: You value working with others and building strong, respectful relationships.
- Adaptability: You stay steady through change and adjust when needed.
- Growth Mindset: You’re open to learning, feedback, and trying new things.
