ML Ops Engineer
Data Stack · Netherlands
- Type: gig
- Location: region — Europe
- Compensation: BRL 144060–162148
- Timezone: UTC-7
About the role
About the Role
We are looking for a talented ML Ops Engineer.
Requirements
- JavaScript - Spring Boot - TypeScript - Scala - AWS - Rust - 5+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do
As an ML Ops Engineer, you will be instrumental in building and maintaining robust, scalable machine learning pipelines. Your daily tasks will involve developing automated deployment strategies for models using AWS services, writing robust APIs with Spring Boot and TypeScript, and ensuring data integrity through carefully crafted code, potentially in Scala or Rust. You will also be responsible for monitoring model performance in production and iterating on infrastructure to optimize for efficiency and reliability.
Why Join Us
Join a forward-thinking team passionate about pushing the boundaries of what's possible with machine learning. We foster a collaborative environment where learning and innovation are paramount, offering opportunities to work on cutting-edge projects and expand your skillset across diverse languages like Rust and Scala. This remote gig offers the flexibility you need while putting you at the forefront of impactful ML advancements.
Who You Are
You are a proactive problem-solver with a deep understanding of the full ML lifecycle and a passion for operational excellence. You thrive in dynamic environments, are comfortable developing in JavaScript and TypeScript, and possess a strong aptitude for cloud infrastructure, particularly AWS. Your experience with backend development frameworks like Spring Boot, combined with an interest in languages like Scala or Rust, makes you an ideal candidate to bridge the gap between development and operations.
Required skills
- JavaScript
- Spring Boot
- TypeScript
- Scala
- AWS
- Rust
About Data Stack
Data Stack builds innovative data science solutions for global teams.