In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an AI Engineer with Data Engineering skills to join the team working on a E2E BI product powered by AI solutions. This role is ideal for someone who is hands-on with machine learning but also thrives in data architecture, pipeline optimization, and deploying models at scale.

Project information:

• Remote Work: 100% Remote
• Type of contract: B2B
• Contract length: Permanent employee
• Project Language: English
• Start date: ASAP/ depending on candidate' s availability

Project scope:

• Design and implement end-to-end machine learning pipelines (from data ingestion to model deployment)
• Build and maintain data infrastructure to support AI applications
• Collaborate with data scientists and software engineers to bring models into production
• Optimize performance and reliability of data workflows and ML systems
• Monitor, troubleshoot, and improve ML model performance over time
• Ensure adherence to best practices for MLOps, versioning, and CI/CD

Requirements:

• 3+ years of experience in AI/ML Engineering or a related role
• Strong Python skills, especially for machine learning and data manipulation
• Solid experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency with data engineering tools like Spark, Airflow, or DBT
• Strong SQL skills and experience working with large-scale datasets
• Familiarity with MLOps tools like MLflow, Kubeflow, or SageMaker
• Experience deploying models into production (batch and real-time)
• Excellent communication and collaboration skills
• BSc in mathematics, Economics, Statistics, Computer Science, or another relevant field

We offer:

• Full-time job agreement based on B2B agreement
• Flat structure with opportunities for development and implementation of your own ideas
• Work-Life balance with flexible work schedules
• To work with the best specialists in the area of BI solutions