Head of Machine Learning & MLOps Engineer (AI)

Location: 100% remote; candidates can be located anywhere. An office is available in Kraków.

Salary: 150–200 PLN/hour

Company

hirify.global is a software development company delivering UX, UI, frontend, backend, mobile, and other technology projects directly for clients and partners worldwide.

What you will do

• Build and lead the ML & MLOps team, including recruitment, team development, and engineering standards.
• Develop a production-ready ML platform covering model serving, monitoring, reproducibility, automated retraining, and governed feature-store integration.
• Design and oversee credit-scoring and other high-stakes decisioning models with validation, champion/challenger testing, and explainability.
• Design and implement agentic ML systems with orchestration, guardrails, automated evaluations, human-in-the-loop checkpoints, and observability.
• Establish responsible AI, model-risk, validation, and independent approval practices for production deployment.
• Manage ML budgets, headcount, business cases, and measurable financial impact while coordinating responsibilities with Data Engineering and leadership.

Requirements

• Proven experience building and managing Machine Learning and MLOps teams, ideally from the initial stages.
• Strong machine learning background across the full lifecycle: development, validation, deployment, monitoring, and retraining.
• Hands-on understanding of ML models, data pipelines, model serving, and production ML infrastructure; experience operating production-grade ML platforms.
• Practical experience designing and implementing agentic AI/ML systems, including orchestration, guardrails, CI-based evaluations, human-in-the-loop mechanisms, and agent observability.
• Experience developing credit-scoring, underwriting, or other high-stakes decisioning models.
• Strong knowledge of model-risk management, responsible AI, explainability, and governance, plus experience leading ML teams in regulated environments.
• Ability to establish technical standards, validation processes, and reliable ML engineering practices.
• Strong leadership skills combined with a hands-on, engineering-oriented approach and a business mindset focused on measurable financial outcomes and ROI.
• Very good English and Polish required.

Culture & Benefits

• Open, honest, employee-respectful working environment with a small team.
• International projects and working environment with opportunities to change products and tasks.
• 100% remote work, with an optional alternative system and access to the Kraków office.
• Private medical care, sports card, and training courses.
• Support for conferences, speaking opportunities, publications, and access to challenging projects.

Hiring process

• Friendly remote initial interview.
• Remote technical discussion.
• Final decision to work together.