Solution Architect

Task & Job Responsibilities

• Design, develop, and maintain scalable infrastructure and platform components for ML and LLM solutions.
• Utilize containerization technologies (Docker/Podman) and orchestration tools (Kubernetes) to deploy and manage data and ML applications.
• Implement, manage and monitor scalable data, CI/CD and MLOps pipelines.
• Manage the entire lifecycle of ML and LLM models, from data preparation and model training to deployment and monitoring.
• Collaborate with data scientists, ML architects, software engineers, and other stakeholders to understand data and model requirements and deliver solutions.
• Apply best practices in MLOps and LLMOps to streamline model development, deployment, and management.
• Stay updated with the latest trends and advancements in data engineering, MLOps, and LLMOps.
• Up-to-date knowledge in Microsoft technologies (MS-Fabric, Data Lake etc..)

Profile

• New AI projects need to be staffed by an experienced engineer (10+ years experience in software or data engineering, +3 years experience in MLOps/AIOps engineering).
• Service ownership of LakeFS and some more technologies around DevOps platform.
• Needs to work on long term vision with MS technologies together (MS Fabric with power BI, AI and building concept with modern data lake.

$$  $$ Arvina Mehta $$ arvina.mehta@gi-de.com $$ $$ $$ https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=24789&career_ns=job_application