(Senior) Machine Learning Engineer - Data Platform

Location: Warsaw, Poland; hybrid 4/1 model with 30 days of occasional remote work

Company

hirify.global operates a large-scale technology and e-commerce platform serving over a dozen million active users, with more than 1,000 microservices, high-throughput data infrastructure, and production machine learning.

What you will do

• Develop and maintain a modern MLOps ecosystem for automated, high-performance model training and serving pipelines.
• Build the hirify.global AI ecosystem, including AI governance inventory, AI Gateway agentic workflows, runtime, model guardrails, and evaluation frameworks.
• Support internal partners and product teams in building and maintaining robust ML/AI-based microservices.
• Work with on-premises Kubernetes infrastructure and Google Cloud Platform services including Vertex AI, Dataflow, BigQuery ML, Cloud Run, and Composer/Airflow.

Requirements

• Production-proven experience with ML/AI ecosystems and stable ML-driven solutions.
• Proficiency in Python and experience with MLE libraries including scikit-learn, PyTorch, Pandas, and FastAPI.
• Practical Docker experience; knowledge of SQL and NoSQL databases.
• Experience applying DevOps/GitOps principles and familiarity with Kubernetes, Helm, ArgoCD, Terraform, and cloud ecosystems; Google Cloud Platform is preferred.
• Engineering excellence practices including clean code, TDD, CI/CD, and rigorous code reviews.
• Understanding and practical experience with AI ecosystem components, plus willingness to use AI coding tools.
• Positive attitude, strong teamwork skills, and higher technical education in Computer Science or a related field.
• Polish at minimum C1 level and English at minimum B2 level required.
• Openness to expanding coding skills into JVM languages such as Java/Kotlin or frontend technologies such as React/TypeScript.

Nice to have

• GPU/TPU experience for model training, fine-tuning, and serving, including Ray, Ray Serve, Triton, or TorchServe, and full model lifecycle management.
• LLMOps deployment, evaluation, observability, and tracing experience.
• Monitoring experience and knowledge of Prometheus, Grafana, and OpenTelemetry concepts.
• Experience with dbt and advanced AI tools such as LangGraph, ADK, and AI Guardrails.

Culture & Benefits

• Hybrid work with flexible hours starting between 7:00 a.m. and 10:00 a.m., plus 30 days of occasional remote work.
• Employee contract, annual performance and company-results bonus, and a discretionary incentive plan based on hirify.global.eu shares.
• Medical, sports, lunch, insurance, and voucher benefits through a cafeteria plan.
• Paid English classes, training budget, internal learning platform, hackathons, and inter-team learning opportunities.
• Modern offices and equipment, including a MacBook Pro or equivalent Dell device and necessary accessories.
• Autonomous, knowledge-sharing engineering culture with opportunities to contribute to large-scale services and internal technology communities.

Hiring process

• Submit a CV to apply.
• Online team and office-life information is available through hirify.global's recruitment website.