GenAI Engineer - Database

📋 Description

• Design, build, and maintain end-to-end ML pipelines covering data ingestion, data preprocessing
• Develop scalable workflow orchestration using tools such as Airflow, Prefect, Azure ML Pipelines
• Build and maintain automated CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins.
• Automate code quality checks, security scanning, testing, model validation, and deployment
• Containerize AI/ML workloads using Docker.
• Deploy and manage ML inference workloads on Kubernetes (AKS/EKS/GKE), serverless platforms, and

🎯 Requirements

• 5+ years of experience in DevOps, Platform Engineering, SRE, or MLOps roles.
• Minimum 3+ years supporting Machine Learning, Deep Learning, or AI production systems.
• Proficient in Databases specially Graph DB like Neo4j, memgraph (NoSQL and SQL).
• Must be able to do Data Modelling.
• Must know about Embeddings, Vector Database, Semantic Search.
• Must have scripting and automation skills using Python, Golang, Bash, or similar languages.

🎁 Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)