Senior Machine Learning Engineer (AI)

Location: Must be based in or able to work from Debrecen, Hungary

Company

hirify.global is a global leader in first-party data and insights, helping organizations make data-driven decisions at scale.

What you will do

• Develop, train, and optimize machine learning models using gradient-boosted frameworks.
• Design, build, and maintain ML pipelines on AWS using SageMaker, S3, and Fargate.
• Own the full model lifecycle from experimentation to production deployment and monitoring.
• Implement logging and alerting systems to ensure model effectiveness.
• Collaborate with engineering and product teams to integrate real-time and batch inference services.
• Mentor team members and drive technical standards for ML development and MLOps.

Requirements

• 5+ years of experience building, deploying, and scaling ML models in production.
• Proficiency in Python and ML libraries like LightGBM, Scikit-learn, NumPy, and Pandas.
• Strong MLOps expertise including CI/CD for ML and model monitoring.
• Hands-on experience with AWS services (SageMaker, S3, Fargate, Lambda).
• SQL proficiency with experience querying large datasets in Snowflake or similar.
• Ability to work autonomously and mentor others in a collaborative environment.

Nice to have

• Java experience for application layer integration.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with containerization (Docker, ECS) and experiment tracking tools (MLflow).
• Knowledge of transformer architectures, fine-tuning, or RAG patterns.

Culture & Benefits

• Ownership and autonomy in shaping the ML stack within a small, growing team.
• Exposure to the full ML lifecycle from data engineering to application deployment.
• Opportunity to work with cutting-edge technologies including RL and LLMs.
• Collaborative culture with direct access to stakeholders and cross-functional peers.
• Impact-driven work serving millions of survey respondents globally.