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 platforms for aerospace solutions.
Domain
Aerospace / Industrial Digitalization
Deliverable
production ML models | product features | infrastructure
Required skills
MLOps, CI/CD pipeline design, Kubernetes/OpenShift, Python (Advanced), GenAI/LLM integration, Vector/Graph databases, Model monitoring, Docker
Preferred skills
RAG architectures, LangChain, FastAPI, GCP, Neo4j, pgvector
Technologies
OpenShift AI, GCP, Docker, Kubernetes, PostgreSQL, Elasticsearch, Neo4j, MLflow, GitLab CI/CD, LangChain, Grafana, Kibana, FastAPI
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
