ML Engineer H/F
Core
Designing and developing scalable AI/ML architectures in public cloud, integrating models into applications, and deploying generative AI solutions.
Role type
Machine Learning Engineer (Generative AI & MLOps)
Builds
Scalable AI/ML architectures, MLOps pipelines, and generative AI solutions (LLM, RAG, vector DB) for clients.
Domain
Cloud computing, Machine Learning, Generative AI
Required skills
Python, FastAPI, Flask, LangChain, LlamaIndex, MLOps, Cloud architecture, Vector databases, Containerization
Preferred skills
Generative AI expertise, Ethical AI awareness, Client-facing communication
Technologies
AWS, GCP, Azure, SageMaker, Bedrock, Vertex AI, MLflow, Kubeflow, Airflow, GitLab, Terraform, Docker, Kubernetes, PostgreSQL (pgvector), OpenSearch
Responsibilities
Designing and developing scalable AI/ML architectures in public cloud; Integrating AI/ML models into existing applications; Setting up and optimizing MLOps pipelines; Implementing generative AI solutions (LLM, RAG, vector DB); Deploying custom or managed models; Collaborating with Data Science, Data Engineering, DevOps, and business teams; Participating in technology scouting and educating clients on AI ethics and legal issues.
