Senior AI/ML Ops Engineer

Responsibilities

• Build and maintain production-grade AI/ML pipelines, including CI/CD processes for training, validating, deploying, monitoring, and retraining models
• Transition ML and GenAI prototypes into scalable and reliable production systems
• Optimize and monitor AI/ML systems for performance, reliability, cost-efficiency, and traceability
• Define and implement MLOps best practices such as model lifecycle management, data lineage, versioning, automated testing, governance, and alerting
• Design and deploy pipelines for real-time inference, batch processing, and automated retraining
• Implement monitoring systems to detect model drift and performance issues
• Integrate advanced AI/ML capabilities, including vector search, embeddings-based similarity services, and LLM-based applications
• Collaborate with product, engineering, and data teams to align ML infrastructure with technical and business goals
• Contribute to the evolution of the AI/ML platform, including model registries and orchestration tools
• Build dashboards to track platform efficiency and ensure cost-effective operations

Languages