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AI Model Deployment Specialist
2 weeks ago
Delphi Consulting Middle East fosters a thriving environment with a hybrid work model that lets you prioritize what matters most. Our digital-first mindset is reflected in virtual interviews and onboarding.
We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security, and Application Modernization, delivering impactful solutions that drive smarter, efficient futures for our clients.
About the Role:
We are looking for an experienced LLM Ops Lead/Architect to drive the deployment, scaling, and monitoring of large language models (LLMs) in production. This role will focus on building robust, scalable, and secure infrastructure for managing the end-to-end lifecycle of LLMs—from training and fine-tuning to inference and continuous improvement.
The ideal candidate will have strong hands-on expertise with MLOps frameworks, cloud-native architectures (Azure preferred), and modern DevOps practices, combined with leadership skills to align cross-functional stakeholders and establish best practices for LLM operations.
Key Responsibilities:
- Lead the design and implementation of LLM Ops infrastructure for training, fine-tuning, and large-scale inference.
- Establish and enforce best practices for model deployment, monitoring, retraining, and continuous improvement.
- Implement security, compliance, and responsible AI guardrails to ensure safe and ethical LLM usage.
- Partner closely with data science, research, and product teams to streamline the LLM lifecycle.
- Build and manage Ops automation pipelines for dataset updates, retraining, and model versioning.
- Evaluate and implement tools for cost optimization and performance tuning in large-scale environments.
- Provide technical leadership and mentor teams on LLMOps methodologies.
What You'll Bring:
- Strong expertise in LLM deployment, scaling, and monitoring.
- Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).
- Hands-on with cloud-native architectures (Azure preferred).
- Strong background in CI/CD pipelines, containerization (Docker, Kubernetes), and microservices.
- Solid understanding of observability tools (Prometheus, Grafana, OpenTelemetry).
- Deep knowledge of model evaluation, drift detection, prompt management, and AI safety guardrails.
- Programming expertise in Python and Bash scripting.
- Experience with vector databases and RAG pipelines.
- Strong leadership and stakeholder communication skills.
- Knowledge of LLM safety, bias mitigation, and regulatory compliance.
We are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs, and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.
