Mid AI/ML Engineer — Build Production AI Solutions

Xebia; Poland; On-site; PLN 180,000 - 240,000; Full time

Job summary

Xebia is seeking a Mid AI/ML Engineer to join the team delivering end-to-end AI solutions—from ideation to production. You will own ML solutions across their lifecycle, collaborating with Data Engineers, MLOps Engineers, Solution Architects, and business stakeholders to turn needs into production-ready AI systems.

You will work on real-world use cases across dealer operations and document processing, with emphasis on PyTorch/TensorFlow, MLflow, and cloud platforms (Azure ML, Vertex AI, AWS

Qualifications

• 3–6 years of professional experience in Machine Learning / AI Engineering.
• Hands-on experience with PyTorch and/or TensorFlow and scikit-learn.
• Experience building and deploying machine learning models in production environments.
• Good understanding of model evaluation, experimentation, and performance monitoring.
• Experience with ML lifecycle management tools such as MLflow.
• Experience with cloud-based ML platforms - Azure ML preferred; Vertex AI or AWS SageMaker also welcome.
• Familiarity with CI/CD concepts and MLOps practices.
• Experience working with both structured and unstructured data.
• Understanding of AI governance, model documentation, and responsible AI principles.
• Experience working in cross-functional Agile teams.
• Strong analytical and problem-solving skills.
• Good communication skills and the ability to collaborate directly with business stakeholders.

Responsibilities

• designing and developing machine learning solutions aligned with business objectives
• building, training, evaluating, and deploying ML models for predictive analytics, recommendation systems, document intelligence, and decision-support use cases
• owning the ML lifecycle for assigned solutions, including data preparation, feature engineering, model training, evaluation, deployment, monitoring, and retraining
• making technical implementation decisions within established architectural and engineering standards
• working with structured and unstructured data
• collaborating with Data Engineers, MLOps Engineers, Solution Architects, and business stakeholders to deliver production-ready solutions
• supporting industrialization activities, including CI/CD, monitoring, observability, and model governance
• troubleshooting production issues and continuously improve existing AI solutions
• contributing to AI governance, responsible AI practices, technical documentation, and transparency requirements
• participating in knowledge sharing and helping build AI/ML capabilities within the team

Skills

ML engineering

Python

PyTorch

TensorFlow

scikit-learn

MLflow

CI/CD

Cloud platforms

AI governance

Agile teamwork

Tools

Azure ML

Vertex AI

AWS SageMaker

CI/CD tooling

Job description

Xebia is seeking a Mid AI/ML Engineer to join the team delivering end-to-end AI solutions—from ideation to production. You will own ML solutions across their lifecycle, collaborating with Data Engineers, MLOps Engineers, Solution Architects, and business stakeholders to turn needs into production-ready AI systems.

You will work on real-world use cases across dealer operations and document processing, with emphasis on PyTorch/TensorFlow, MLflow, and cloud platforms (Azure ML, Vertex AI, AWS