Machine Learning Engineer (MLOps)

TL;DR

Machine Learning Engineer (MLOps): Operationalizing ML models and AI capabilities into scalable production systems for risk intelligence products with an accent on CI/CD, containerization, and cloud infrastructure. Focus on building scalable inference pipelines, implementing MLOps lifecycle management, and ensuring system reliability.

Location: Kraków, Poland; Remote options available for candidates based in Poland, Latam, Moldova, or Romania.

Company

hirify.global is a technology services provider delivering innovative software solutions for global clients.

What you will do

• Design and build scalable model training, deployment, and inference pipelines.
• Deploy models into production using CI/CD, containerization, and cloud infrastructure.
• Implement model versioning, monitoring, and automated retraining mechanisms.
• Collaborate with Data Scientists and Product teams to integrate ML into customer-facing products.
• Ensure ML systems comply with privacy, security, and regulatory requirements.

Requirements

• 8+ years of experience in ML engineering, MLOps, or software engineering.
• Strong software engineering skills in Python and cloud environments.
• Hands-on experience with ML platforms (MLflow, Kubeflow, SageMaker) and Kubernetes.
• Bachelor’s or Master’s degree in Computer Science, AI, Big Data, or a related field.
• Must be based in Poland, Latam, Moldova, or Romania.

Culture & Benefits

• Flexible employment options and remote work arrangements.
• Opportunity to work with latest technologies for industry leaders on international projects.
• Non-corporate atmosphere with a relaxed dress code.
• Professional development via skill centers, webinars, and language classes.
• Private healthcare, insurance, and monthly Multisport budget.