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Our enterprise clients are moving from isolated AI components to fully integrated AI systems embedded within core products and platforms. The challenge is no longer building models, but orchestrating, deploying, operating, and evolving AI systems reliably at scale. This role exists to bridge software engineering, DevOps, and AI operations, enabling AI systems to move from experimentation to industrial-grade production. You will operate as a Subject Matter Expert responsible for the end-to-end orchestration of AI systems, ensuring that models, data, and infrastructure work together as reliable, scalable, and observable platforms. Acting in consultative client engagements, outsourced delivery, or product-based environments, you will design and operate the pipelines, tooling, and automation that make AI systems production-ready.
Job Responsibility:
Design and implement CI/CD pipelines for AI and ML workloads
Orchestrate training, evaluation, deployment, and inference workflows
Enable reproducible, automated, and auditable AI delivery processes
Integrate AI components into existing enterprise applications and platforms
Implement model packaging, deployment, and rollout strategies
Manage versioning of code, data, and models
Design monitoring for model performance, data drift, and system health
Support retraining and continuous improvement pipelines
Expose AI capabilities via APIs and services
Integrate AI systems with enterprise tooling and workflows
Automate infrastructure provisioning and environment management
Ensure smooth handover between development and operations
Requirements:
Strong background in software engineering, DevOps, or platform engineering
Hands-on experience with AI/ML systems in production