MLOps Engineer - Remote

Overview

Complexio’s Foundational AI automates business activities by ingesting structured and unstructured company-wide data to extract meaningful insights. Our proprietary models and algorithms analyse human interactions with data, enabling automation to replicate and enhance these processes independently.

In Short

• Deploy and manage ML models in production environments, ensuring scalability and reliability.
• Design and maintain ML pipelines, automating training, validation, and deployment workflows.
• Optimize AI/ML infrastructure for performance, cost, and efficiency across cloud and on-premise systems.
• Integrate and manage vector and graph databases (e.g., Neo4j, Pinecone, Milvus) for AI-driven applications.
• Implement observability & monitoring solutions for model performance, data drift, and system health.
• Ensure compliance with security and data governance best practices in ML deployment.
• Collaborate with Data Scientists and DevOps teams to streamline AI model lifecycle management.

Requirements

• Experience in deploying and managing machine learning models.
• Proficiency in cloud platforms such as AWS, Azure, and Google Cloud.
• Strong understanding of data pipelines and GPU workloads.
• Familiarity with vector and graph databases.
• Knowledge of observability and monitoring tools.
• Experience with security and data governance in ML.
• Ability to collaborate effectively with cross-functional teams.

Benefits

• Opportunity to work with cutting-edge AI technologies.
• Flexible working environment with remote options.
• Collaborative and innovative team culture.
• Professional development opportunities.
• Competitive salary and benefits package.