TL;DR

Senior ML Platform Engineer (AI): Building and scaling AI Infrastructure that powers intelligent services, with an accent on training orchestration, inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. Focus on developing LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Location: Warsaw, Poland | Bucharest, Romania | Tallinn, Estonia. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

Company

%hirify_global% is one of the fastest-growing tech companies in Europe and Africa with over 200 million customers in 50+ countries.

What you will do

Designing, building, and optimising components of %hirify_global%’s ML Platform.
Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
Raise our product and technical quality bar, promoting software engineering best practices.

Requirements

5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
Experience in leading and delivering complex cross-team projects.
Production experience with Python, Spark, and Kubernetes.
Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Culture & Benefits

Accelerate your professional growth with unique career opportunities.
Enjoy a rewarding salary and stock options, knowing that as %hirify_global% succeeds, so do you.
Take care of your physical and mental health with our wellness perks.
Celebrate 5 years at %hirify_global% with a 1-month paid sabbatical to recharge.
Connect with colleagues at annual company events and smaller team gatherings.
Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.