Informacje o stanowisku

technologies-expected :

• AWS
• Python
• Docker
• Kubernetes
• LLM
• MLOps

• We are looking for an experienced AI Engineer to help us responsibly shape and govern the rapidly evolving ecosystem of AI-powered tools. This is a strategic, engineering-focused role for someone who can turn AI/ML models — including LLM-based solutions — into stable, scalable, and well-monitored production systems. If you have a hands-on mindset, feel confident working with infrastructure, pipelines, and automation, and understand the realities of operating in a regulated environment (pharma / GxP), you might be exactly who we’re looking for!

• Design, implement, and maintain end-to-end MLOps/LLMOps pipelines for CI/CD and monitoring of data quality AI models
• Build robust and scalable APIs and services for deploying and serving AI/ML models, including anomaly detection and predictive data quality scoring
• Integrate and leverage advanced AI tools such as LangChain, Portkey, Galileo, and HuggingFace Transformers to develop data quality agents and automated error classification
• Collaborate with Data Engineering and IT Operations teams to manage cloud infrastructure (AWS) for scalable model serving, monitoring, and automated retraining
• Implement systems for monitoring model performance, detecting data and model drift, and automating the model retraining loop
• Ensure high availability and performance of AI systems under high data ingestion loads on the central data surveillance platform
• Design and deploy AI systems in compliance with internal security policies and GxP regulatory standards
• Continuously improve MLOps architecture and processes to maintain the resilience of the data quality

• Minimum 5 years of experience designing and maintaining production MLOps/LLMOps pipelines with CI/CD for models
• Hands-on expertise with AWS SageMaker, Kubeflow, or MLflow, including model monitoring, retraining, and drift detection
• Proficiency in production-level Python, including writing clean, testable, and well-documented code, APIs, and services
• Strong skills in containerizing models with Docker and orchestrating with Kubernetes, ensuring scalability and high availability
• Proven experience deploying LLM and Transformer models using HuggingFace and LangChain; experience with Portkey or Galileo is a plus
• Practical use of AWS services such as Lambda, EC2, and SageMaker, with collaboration across infrastructure and data engineering teams
• Solid understanding of distributed architecture, data streaming, and handling high-volume data in production environments
• Fluency in English
• Residing in Poland required

• Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas
• Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market
• We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022
• Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more
• Comfortable workplace – class A offices or remote work
• Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application
• PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers
• Investment in your growth – meetups, webinars, training platform and technology blog – you choose
• Fantastic atmosphere created by all Sii Power People

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