What are the responsibilities and job description for the ML Infra Engineer position at Strativ Group?
My client is an innovative AI start-up building an artificial intelligence agent for analytics to support data scientists.
This opportunity presents a chance to contribute to the development of a machine learning infrastructure used by data scientists to expedite tasks. As part of the founding team, you will be involved in key decisions surrounding product direction and scalability.
Position Overview:
You will join as an early hire in the machine learning infrastructure team and be responsible for developing platforms that enable scientists, researchers, and developers to run machine learning jobs easily and quickly at scale. Additionally, you will develop solutions that orchestrate and support vast quantities of data end-to-end.
Responsibilities:
- Designing solutions to handle large-scale data through stages like ingestion, indexing, transformation, machine learning, and deployment.
- Developing platforms to help researchers and developers run machine learning jobs quickly and efficiently at scale.
- Implementing a streamlined continuous integration/continuous deployment framework to enable teams to self-manage testing, deployment, and operations.
- Leading cross-functional initiatives to align teams on common technologies and best practices.
Required Experience:
- Proficiency in multiple programming languages (e.g., Python, Rust, C , Go, Java).
- Experience deploying and operating reliable cloud-based systems.
- Ability to design service-oriented architectures and work with various data stores.
- Motivation to build exceptional, innovative products.
- Growth mindset with a focus on continuous learning and improvement.
What We Offer:
- Generous equity stake
- $180K - $220K plus benefits package
- Hybrid work arrangement
