Infrastructure Software Engineer
Baseten- Full Time
- Junior (1 to 2 years)
Candidates should have proficiency in multiple programming languages relevant for infrastructure systems, such as Python, Rust, C++, Go, or Java. They must have knowledge about deploying and operating high availability production systems in the cloud and experience in designing service-oriented architectures while leveraging various data store technologies. A growth mindset and intrinsic desire for continuous improvement are essential.
The ML Infrastructure Engineer will develop platforms that enable scientists, researchers, and developers to run ML jobs easily and quickly at scale using the latest technologies. They will create solutions to orchestrate and support massive quantities of data through various stages, including ingestion, indexing, transformation, machine learning, and online deployment. Additionally, they will define a consistent continuous integration/deployment model to encourage cross-functional development teams to self-service application unit testing, deployment, and operations, while also influencing and leading cross-functional initiatives.
Machine learning solutions for data analytics
Delphina.ai provides machine learning and data science solutions that help businesses analyze trends and predict future outcomes. Their technology integrates with platforms like Snowflake and BigQuery, allowing clients to deploy data pipelines efficiently. Delphina operates on a software-as-a-service (SaaS) model, enabling clients to subscribe to access its user-friendly platform for creating unique data transformations. The company's goal is to empower organizations to leverage predictive AI for improved decision-making and operational efficiency.