(Middle-Senior) AI Engineer

We are looking for a AI Engineer to join our client’s R&D organization and contribute to building cutting-edge ML solutions. You will work across the full ML lifecycle—from data preparation and feature engineering to model training, deployment, and production monitoring. This is a hands-on role that involves close collaboration with Data Scientists, Product Managers, and DevOps Engineers.

Key Responsibilities
• Design, implement, and maintain end-to-end machine learning pipelines.
• Work across the entire lifecycle of ML models: training pipelines, deployment, monitoring, and optimization.
• Build and maintain production-ready feature pipelines and feature stores.
• Develop and improve MLOps processes and infrastructure.
• Automate workflows including CI/CD, data processing, and container orchestration.
• Collaborate with cross-functional teams to enhance ML systems, improve data workflows, and increase solution performance.

Requirements
• 4+ years of experience deploying machine learning models (classical ML or LLMs) in cloud environments (AWS, GCP, or Azure).
• Solid experience with containers and Kubernetes.
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Feast, or similar.
• Proven experience building scalable and robust feature pipelines.
• Strong understanding of model monitoring, testing, security, CI/CD, permissions, and access management.
• Proficiency in Python and familiarity with distributed computing (e.g., Spark, Ray).
• Strong communication skills and experience working in Agile environments.

Nice to Have
• Experience with Deep Learning frameworks.
• Background in large-scale data processing.

English: Upper-Intermediate
Remote
Company’s location: Macedonia
B2B Contract.

Experience
3–4 years

-> Reach me %contact_placeholder% for details.