DevOps/MLOps Engineer with AI

O projekcie:
Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!

Currently, we are searching for a full-time MLOps/DevOps Engineer to cooperate with our US client - the company integrates production-grade, governed AI workflows into complex enterprise systems by addressing common friction points like poor integration and lack of domain expertise. The organization combines deep domain knowledge with cutting-edge capabilities to accelerate the deployment of reliable AI products.
Our client’s core mission is to make artificial intelligence work for complex enterprise workflows. Recognizing that most AI initiatives fail due to poor integration, gaps in domain specialization, a lack of governance, and unclear ownership-rather than flawed models—they focus on overcoming these exact friction points.
By combining decades of deep industry domain expertise with cutting-edge product AI capabilities, they accelerate production deployment and embed production-grade, governed AI workflows directly into some of the world’s most intricate enterprise systems. The leadership team consists of proven industry veterans with a track record of delivering groundbreaking AI products, backed by a board of senior executives with deep expertise in global consulting and software engineering.

⚠️ Due to the client's location, a daily standup around 5:00 – 6:00 PM Polish time, with required availability to work until at least 7:00 PM CET.

Wymagania:
- Minimum of 5+ years of hands-on experience in DevOps/MLOps- Being able to work until at least 7:00 PM CET- Proficiency with AWS Bedrock, and/or Azure AI Foundry- Skills in model hosting- Excellent communication skills: we are looking for a proactive and open engineer who actively participates in technical discussions and doesn't hesitate to voice ideas or solutions

Nice to have:

- Practical experience utilizing advanced AI-assisted development tools to accelerate engineering workflows (preferred Claude Code)- A degree in Computer Science or a relevant field

Codzienne zadania:
- Design, deploy, and maintain ML model hosting infrastructure using cloud platforms such as Amazon Web Services (AWS Bedrock) and Microsoft (Azure AI Foundry), ensuring scalable, secure, and reliable model serving environments.
- Build and automate MLOps pipelines for model development, testing, deployment, monitoring, and lifecycle management, integrating CI/CD practices into machine learning workflows.
- Manage cloud-based AI/ML environments, including infrastructure provisioning, configuration, access management, networking, and performance optimization for production AI workloads.
- Implement model monitoring and governance solutions, tracking model performance, availability, drift, cost, and operational metrics to ensure production reliability.
- Collaborate with data scientists and software engineers to productionize machine learning models, improve deployment processes, troubleshoot issues, and establish best practices for AI platform operations.