Ai/Ml Platform Engineer

TL;DR

Ai/Ml Platform Engineer (AI): Design, build, and maintain scalable machine learning and AI infrastructure platforms with an accent on multi-GPU environments and LLM deployment. Focus on developing automated deployment pipelines, optimizing GPU cluster resources, and ensuring high availability and reliability of ML services.

Location: Fully Remote, based in Budapest, Hungary

Company

hirify.global is an ecosystem of 60+ brands across 22 European countries providing SMB customers with hosting, SaaS, and online business services.

What you will do

• Design and implement scalable ML/AI platforms for multi-GPU model deployment
• Build and maintain infrastructure for LLM inference with latency and throughput optimization
• Develop automated deployment pipelines using containerization and orchestration tools
• Manage GPU cluster resources and implement monitoring and alerting systems
• Build CI/CD pipelines tailored for ML model deployment and automate infrastructure provisioning
• Collaborate with data science and security teams to optimize workflows and ensure secure model serving

Requirements

• Must be eligible to work in Hungary without visa sponsorship or relocation support
• 3+ years in platform engineering, DevOps, or infrastructure roles, with 2+ years in ML/AI infrastructure
• Experience with cloud platforms (AWS, Azure, GCP) and GPU-enabled services
• Proficiency in Docker, Kubernetes, Terraform, and programming languages including Python and Go/Java/Rust
• Familiarity with ML frameworks (PyTorch, TensorFlow) and ML lifecycle management tools
• Knowledge of GPU computing, distributed training, monitoring tools, and streaming data processing

Nice to have

• Experience with LLM deployment and inference optimization techniques
• Knowledge of model quantization, pruning, and vector databases
• Familiarity with service mesh technologies and API gateways

Culture & Benefits

• Diversity and inclusion focused environment valuing respect and collaboration
• Commitment to ESG and sustainability goals
• Fully remote work with a European base