Machine Learning Engineer (AI)

Location: Krakow, Poland

Annual base salary: €98,000–€146,000, with potential eligibility for bonus, benefits, or related incentives.

Company

hirify.global develops customer experience software that supports large-scale conversations between brands and their customers.

What you will do

• Design, build, deploy, and continuously improve machine learning models for churn, expansion, conversion, and customer engagement prediction.
• Develop scalable pipelines for data ingestion, model retraining, validation, and production prediction serving.
• Work with large-scale structured and unstructured data, applying modern machine learning, NLP, embeddings, and LLM techniques.
• Monitor production models, improve performance, and ensure reliability through testing, validation, and iteration.
• Partner with AI Engineers, Data Engineers, Product Managers, analytics professionals, and business stakeholders.
• Own solutions end to end, from business problem definition and experimentation through deployment, monitoring, and optimization.

Requirements

• 3–5 years of professional experience in Machine Learning Engineering, Applied Machine Learning, Data Science, or a related field.
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
• Strong knowledge of machine learning and statistical modeling, including regression, classification, survival analysis, causal inference, or uplift modeling.
• Experience with large-scale real-world datasets, feature engineering, model validation, and imperfect data.
• Strong Python and SQL skills, including production-quality software development and work with cloud data warehouses; Snowflake is preferred.
• Experience deploying, serving, and monitoring machine learning models in production environments.

Nice to have

• Master’s degree or PhD.
• Experience with experiment design, A/B testing, or causal inference.
• Experience with Airflow, dbt, or similar workflow orchestration tools.
• Experience using AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot.

Culture & Benefits

• Hybrid working enables purposeful in-person collaboration while allowing remote work for part of the week.
• Inclusive workplace with a focus on diversity, equity, and inclusion.
• Potential bonus, benefits, and related incentives in addition to base salary.
• Reasonable accommodations are available for applicants with disabilities and disabled veterans.