Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Project – the aim you’ll have

We are looking for a talented Machine Learning Engineer to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential.

You will operationalise machine learning models and AI capabilities into reliable, scalable, and secure production systems that power paid risk intelligence products.

Position – how you’ll contribute

ML Systems & Deployment

• Design and build scalable model training, deployment, and inference pipelines
• Deploy models into production using CI/CD, containerisation, and cloud infrastructure
• Ensure models meet performance, latency, and reliability requirements 

MLOps & Lifecycle Management

• Implement model versioning, monitoring, and automated retraining mechanisms
• Detect and respond to model drift, data drift, and performance degradation
• Establish operational standards for AI systems 

Collaboration with Data Science & Product

• Partner with Data Scientists to productionise and scale models
• Work with Product and Engineering teams to integrate ML into customer‑facing products
• Translate experimental work into robust production assets 

Governance, Security & Ethics

• Ensure ML systems comply with privacy, security, and regulatory requirements
• Support explainability, auditability, and responsible AI practices
• Document models and operational decisions clearly

Expectations – the experience you need

• 8+ years experience in ML engineering, MLOps, or software engineering roles
• Strong software engineering skills in Python and cloud environments
• Hands‑on experience with ML platforms (MLflow, Kubeflow, SageMaker) and Kubernetes
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
• MS in Big Data, AI or relevant fields

Our offer – professional development, personal growth:

• Flexible employment and remote work  
• International projects with leading global clients 
• International business trips  
• Non-corporate atmosphere 
• Language classes 
• Internal & external training 
• Private healthcare and insurance  
• Multisport card 
• Well-being initiatives 

Position at: Software Mind Poland