Machine Learning Engineer (MLOps & AI Integration)
Core
Bridge the gap between Data Science Proof of Value (PoVs) and enterprise-scale production by industrializing ML models and integrating AI solutions into business applications.
Role type
Senior Machine Learning Engineer (MLOps & AI Integration)
Builds
Production-ready ML models, GenAI/chatbots, and scalable AI infrastructure on OpenShift and GCP.
Domain
Aerospace / Industrial Digitalization
Deliverable
production ML models
Required skills
MLOps, CI/CD pipeline design, Python (Advanced), Kubernetes, Docker, GenAI integration, Vector/Graph databases, Model monitoring, Infrastructure as Code
Preferred skills
Experience with LangChain, RAG architectures, Neo4j, FastAPI
Technologies
OpenShift AI, GCP, Docker, Kubernetes, PostgreSQL, Elasticsearch, Neo4j, Python, MLflow, GitLab CI/CD, LangChain, Grafana, Kibana
Responsibilities
Implement CI/CD pipelines for transitioning ML models from PoV to production; Integrate AI solutions (chatbots, LLMs) into existing business applications; Set up dashboards for model health monitoring and resource optimization; Create standardized templates and tooling for the Data Science team; Act as a technical liaison between international innovation teams and local IT departments.
Seniority
Senior, hands-on IC
