Senior ML Platform Engineer (AI)

TL;DR

Senior ML Platform Engineer (AI): Designing, building, and scaling machine learning platforms and MLOps tooling for an e-commerce fashion company with an accent on GPU training, real-time inference, and multi-tenancy. Focus on integrating open source and managed services, evaluating build vs buy trade-offs, and enabling ML teams to reliably deploy and operate models in production.

Location: Flexible employment and remote work Applicable in: Poland & Latam & MD/RO

Company

hirify.global is a software company specialized in fashion, shoes, accessories, beauty.

What you will do

• Support and contribute hands-on to multiple ML platform POCs.
• Work closely with Applied Scientists, ML Engineers, and internal platform teams.
• Evaluate platform capabilities across GPU training, real-time inference, and operability.
• Assess integration points with existing in-house tooling and perform performance analysis.
• Contribute technical input to build vs buy vs extend decisions.

Requirements

• 5+ years building and operating ML infrastructure or large-scale data/ML systems on cloud platforms.
• Experience supporting mission-critical systems serving multiple teams.
• Proficiency with Containers (Docker) and orchestration (Kubernetes).
• Experience with streaming and batch processing systems (e.g. Kafka/Kinesis, Spark/Flink).
• Experience designing and operating systems with strict latency and throughput requirements.
• Ability to embed security, compliance, and governance into engineering workflows.

Nice to have

• Experience with enterprise ML platforms (e.g. Databricks, Domino, ClearML).
• Kubernetes-first ML systems and multi-tenant environments, resource isolation, autoscaling.
• Feature platform or feature store experience and familiarity with Hopsworks, Feast, or similar.
• FinOps awareness (cost attribution and optimisation for ML workloads).
• Developer experience / platform enablement mindset.

Culture & Benefits

• Flexible employment and remote work.
• Work with the latest technologies for industry leaders.
• Relaxed and inspiring atmosphere that does not enforce a dress code.
• Develop your skills at work – language classes come to you.
• Take care of the health of you and your loved ones with private healthcare and insurance.
• Take part in activities that support your physical and mental health.