Sachgebietsleiter Business Development & Evaluation (m/w/d)
Core
Building and operating data-intensive cloud-based Machine Learning solutions for clients across the entire lifecycle from strategy to implementation.
Role type
Machine Learning Engineer (Cloud & MLOps)
Builds
End-to-End ML solutions on major cloud platforms (AWS, Azure, GCP) for enterprise clients
Domain
Data Science, Cloud Computing, Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, Cloud Computing (AWS/Azure/GCP), Big Data technologies (Apache Spark, Hadoop), Data Integration (Kafka, RabbitMQ), Infrastructure as Code (Terraform, Helm, Ansible), Containerization (Docker, Kubernetes), CI/CD and DevOps
Preferred skills
Generative AI, LLM development, Data Engineering, Microservices, Frontend/Backend development
Technologies
Amazon Web Services, Microsoft Azure, Google Cloud Platform, Apache Spark, Hadoop, Kafka, RabbitMQ, Terraform, Helm, Ansible, Docker, Kubernetes, Databricks, Snowflake
Responsibilities
Develop, maintain, and operate ML solutions using MLOps/DevOps principles; implement data integration pipelines; deploy and scale containerized applications; collaborate within a flat, open environment
Seniority
Junior to Mid-level, hands-on IC