Ecolab is a global leader in water, hygiene, and energy technologies, dedicated to delivering innovative solutions that make a positive impact worldwide. With operations spanning across 170 countries, Ecolab is committed to sustainability, innovation, and fostering a diverse and inclusive workplace.
There are over 500 of us in our Krakow business center, where we highly specialize in finance, supply chain, accounting, controlling and regulatory. We’re always looking for new talent to join our team. When you come to work at Ecolab, you get to take on some of the world’s most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.
Right now, we are seeking a highly skilled AI Engineer to design, develop, and deploy AI-powered solutions with a focus on agentic AI systems and intelligent automation on Azure cloud infrastructure. The ideal candidate will have hands-on experience in building AI/ML models, working with LLMs, and deploying scalable AI solutions to production environments.
This hybrid position is offered as a full-time employment (employment contract), providing a structured opportunity to support redefining how one of the world’s leading companies applies AI to solve real business challenges. At Ecolab, innovation is more than a buzzword, it is embedded in our culture, which is why we are proud to be recognized as #9 on Fortune’s AIQ 50 list of companies leading the AI revolution.
What You will Do:
- 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 Functions, Azure ML, Cognitive Services, etc.)
- Develop data processing and ML workflows using Azure Databricks and Apache Spark
- Implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions for automated deployment
- Work on LLM-based solutions, including prompt engineering and RAG architectures
- Perform model development tasks including data preprocessing, feature engineering, model training, and evaluation
- Optimize model performance, scalability, and cost-efficiency in production environments
- Implement monitoring, logging, and observability for AI systems
- Collaborate with cross-functional teams (data engineering, product, business stakeholders) to integrate AI solutions
- Follow secure development practices (Key Vault, managed identities, RBAC)
What will You Need:
Required Skills & Qualifications
>Technical Expertise
- Min. 2 years of experience in AI/ML engineering or data science
- Strong programming skills in Python and SQL
- Experience with Azure cloud services (Azure OpenAI, Azure ML, Functions, Storage, Key Vault)
- 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)
>AI / ML & GenAI Skills
- Strong foundation in Machine Learning and Deep Learning
- Experience with large language models (LLMs) and prompt engineering
- Understanding of:
- Retrieval-Augmented Generation (RAG)
- Embeddings and vector search
- Transformer-based models
- Exposure to agentic AI concepts / multi-agent workflows
- Experience with ML frameworks: Scikit-learn, TensorFlow, PyTorch, or Transformers
>Problem Solving & Engineering Practices
- Strong analytical and problem-solving skills
- Ability to debug and troubleshoot data/ML pipeline issues
- Understanding of software engineering best practices (clean code, version control, code reviews)
- Exposure to testing approaches for AI systems (unit/integration testing)
Preferred Qualifications
- Experience with MLOps tools (MLflow, Azure ML pipelines)
- Knowledge of microservices architecture
- Familiarity with monitoring tools (Application Insights, Log Analytics)
- Azure certifications (AI Engineer Associate preferred but not mandatory)
- Fluent Polish and very good English skills
What’s In for You:
• Competitive Compensation: Attractive salary and benefits package (lunch subsidy, sport bonus, holiday bonus etc.).
• Work-Life Balance: Flexible working arrangements with hybrid model of work (approx. 50% from the office and 50% from home.
• Matrix Organization: Thrive in our matrix organization, working across Europe with various teams and cultural backgrounds.
• Collaborative Environment: Strong teamwork and diverse interactions.
• Development Opportunities: Personalized plans with rapid progression
• Versatile Career Paths: Professional growth supported by active committee for different career levels.
• Supportive Culture: High employee satisfaction and responsive feedback.
• Learning and Innovation: Continuous learning and technical training incl. subject matter experts’ trainings, soft skills and LinkedIn learning.
• Social events such as family events and charity auctions.
• Comfortable working environment (Library, relaxation area, casual dress code).
• Parking space for cars and bikes.
At Ecolab, we prioritize our talent-first philosophy by creating the most capable and diverse team to excel at our nearly three million customer sites. Building on a century of innovation, our 48,000 associates help deliver comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets in more than 170 countries around the world. Our solutions not only enhance operational efficiency but also contribute to sustainability and public health, making a positive impact on the world.
We are committed to eliminating unnecessary complexities and embracing a beginner's mindset, continuously seeking new perspectives and innovative solutions to stay ahead in a rapidly changing world.
We are committed to fair equal and diverse treatment of associates and applicants, furthering the principles of Equal Opportunity Employment.
Apply today and join one of the most ethical companies with over a hundred years of history.
Join Ecolab and help us protect what’s vital.
#LI-MK2
Skills Required
- 2-5 years of experience in AI/ML engineering or data science
- Strong programming skills in Python and SQL
- Experience with Azure cloud services, including Azure OpenAI, Azure ML, Azure Functions, Azure Storage, and Azure Key Vault
- Hands-on experience with Azure Databricks and PySpark for data processing
- Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions
- Basic understanding of Docker and containerization
- Strong foundation in machine learning and deep learning
- Experience with large language models and prompt engineering
- Understanding of Retrieval-Augmented Generation, embeddings, vector search, and transformer-based models
- Exposure to agentic AI concepts and multi-agent workflows
- Experience with Scikit-learn, TensorFlow, PyTorch, or Transformers
- Strong analytical and problem-solving skills
- Ability to debug and troubleshoot data and machine learning pipeline issues
- Understanding of software engineering best practices, including clean code, version control, and code reviews
- Exposure to unit and integration testing for AI systems
- Experience with MLOps tools such as MLflow or Azure ML Pipelines
- Knowledge of microservices architecture
- Familiarity with Application Insights and Log Analytics
- Azure AI Engineer Associate certification
Ecolab Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ecolab and has not been reviewed or approved by Ecolab.
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Retirement Support — Feedback suggests the company provides strong retirement programs, including a 401(k) with employer matching and a pension, alongside options like an employee stock purchase plan. Offerings such as retiree healthcare benefits and diverse investment choices reinforce long-term financial support.
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Healthcare Strength — Feedback suggests medical coverage is broad, with HSA plan options and company contributions, prescription benefits, dental and vision, and virtual care and mental health support. Company-paid wellness programs and income protection (short- and long-term disability, life and accident) further strengthen core coverage.
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Parental & Family Support — Family-focused programs include fertility support, adoption assistance, and paid parental leave, complemented by counseling and resource services. These offerings are positioned as supportive of employee well-being across different life stages.
Ecolab Insights
What We Do
A trusted partner at nearly three million customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $12 billion and more than 44,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world. For more Ecolab news and information, visit www.ecolab.com, or follow us on twitter.com/ecolab, facebook.com/ecolab or instagram.com/ecolab_inc.
