ML Ops Engineer

Binary Tech · Romania

About the role

About the Role

We are looking for a talented ML Ops Engineer.

Requirements

- JavaScript - Serverless - Elasticsearch - Web3 - Cybersecurity - 2+ 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 our cutting-edge machine learning infrastructure. You will leverage your expertise in JavaScript to develop robust data pipelines and automation scripts, integrating them with serverless architectures for efficient and scalable deployment. A key focus will be on optimizing Elasticsearch for real-time model monitoring and anomaly detection, while also exploring and implementing secure Web3 solutions for decentralized AI applications, always with a strong emphasis on cybersecurity best practices throughout the entire ML lifecycle.

Why Join Us Join a dynamic and forward-thinking team passionate about pushing the boundaries of AI and blockchain technology. We foster a collaborative environment where innovation thrives, offering ample opportunities for professional growth and skill development in highly sought-after tech domains. You'll be part of a company that values your contributions and empowers you to make a significant impact on groundbreaking projects, all within a flexible part-time remote setting.

Who You Are You are a proactive and detail-oriented engineer with a keen interest in the intersection of machine learning, decentralized technologies, and robust security. Your passion for clean code and efficient systems shines through your experience with JavaScript and serverless computing. You possess a strong understanding of how to architect and manage large-scale data with Elasticsearch and are excited by the challenges and potential of Web3, always prioritizing cybersecurity in your solutions.

Required skills

About Binary Tech

Binary Tech builds innovative hr tech solutions for global teams.

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