Azure AI Engineer – Hybrid, LLM/GenAI & MLOps

Ecolab; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Lunch subsidy

Sport bonus

Holiday bonus

Hybrid work model

Parking space

Job summary

Ecolab Kraków Business Center is seeking an AI/ML Engineer to design and deploy AI-powered applications and data science workflows. You will work with Azure OpenAI, Azure ML, and Databricks to build scalable ML solutions in a hybrid environment.

Join a global leader in hygiene, water, and energy technologies. You will collaborate with cross-functional teams, improve models for production use, and participate in learning and career development opportunities across Europe.

Qualifications

• 2–5 years of AI/ML engineering or data science experience.
• Strong programming skills in Python and SQL.
• Experience with Azure cloud services (Azure OpenAI, Azure ML, Functions).
• Hands-on experience with Azure Databricks / PySpark for data processing.
• Familiarity with CI/CD pipelines (Azure DevOps or GitHub Actions).
• Basic understanding of containerization (Docker).

Responsibilities

• Design and develop AI-powered applications and agent-based systems for intelligent automation and decision-making.
• Build and deploy AI/ML solutions using Azure services (Azure OpenAI, Azure ML, Cognitive Services).
• Develop data processing and ML workflows using Azure Databricks and Spark.
• Implement CI/CD pipelines for automated deployment (Azure DevOps or GitHub Actions).
• Work on LLM-based solutions, including prompt engineering and RAG architectures.
• Perform model development tasks including data preprocessing, feature engineering, model training, and evaluation.

Skills

Python

SQL

Azure

PySpark

LLMs

CI/CD

Docker

ML engineering

Tools

Azure Databricks

GitHub Actions

Azure DevOps

Spark

Job description

Ecolab Kraków Business Center is seeking an AI/ML Engineer to design and deploy AI-powered applications and data science workflows. You will work with Azure OpenAI, Azure ML, and Databricks to build scalable ML solutions in a hybrid environment.

Join a global leader in hygiene, water, and energy technologies. You will collaborate with cross-functional teams, improve models for production use, and participate in learning and career development opportunities across Europe.