Industrial AI/ML Scientist — Flexible, Global Impact

Cari; Katowice; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Flexible work environment

Long term career development

Think globally, work locally

Job summary

Hatch in Katowice, Poland seeks an AI/ML Scientist to pilot, develop, deploy, and scale advanced analytics across industrial operations and value chains. You will design and validate models for predictive maintenance, process optimization, and anomaly detection, collaborating with process engineers and IT/OT teams to embed solutions into dashboards and enterprise systems.

You will build robust data pipelines, apply modern ML techniques, and stay at the forefront of AI trends to drive measurable

Qualifications

• Bachelor’s or advanced degree in Engineering, Data Science, Applied Mathematics, Operations Research, or related field.
• Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with ML/AI in industrial sectors (mining, energy, infrastructure) is a plus.
• Knowledge of time-series analytics, feature engineering, and model evaluation.
• Experience with data engineering, SQL, APIs, ETL/ELT, and cloud platforms (Azure, AWS, GCP).

Responsibilities

• Design, develop, validate, and deploy AI/ML models for industrial applications (predictive maintenance, process modeling, optimization).
• Develop data pipelines and feature engineering workflows for production-ready solutions.
• Translate analytical findings into actionable operational recommendations.
• Collaborate with engineers, data engineers, and IT/OT teams to deploy models in production.

Skills

Python proficiency

Time-series analysis

Data engineering

MLOps

Cloud platforms

Education

Bachelor’s or higher in Engineering / Data Science

Specialization in Process Control / Industrial AI asset is a plus

Tools

scikit-learn

TensorFlow

PyTorch

XGBoost

MLflow

Databricks

Job description

Hatch in Katowice, Poland seeks an AI/ML Scientist to pilot, develop, deploy, and scale advanced analytics across industrial operations and value chains. You will design and validate models for predictive maintenance, process optimization, and anomaly detection, collaborating with process engineers and IT/OT teams to embed solutions into dashboards and enterprise systems.

You will build robust data pipelines, apply modern ML techniques, and stay at the forefront of AI trends to drive measurable