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
responsibilities :
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-expected :
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
offered :
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
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
