وظيفة مهندس AI Ops / ML Ops لدى Dautom في مكة وجدة

Client Introduction

In this role, you will collaborate closely with one of our esteemed clients-a global leader in their industry, recognized for their commitment to quality, innovation, and excellence. They have partnered with Dautom as their trusted IT consulting provider for upcoming strategic initiatives.

ob Summary

We are looking for an experienced AI Ops / ML Ops Engineer to deploy, monitor, maintain, and optimize AI/ML solutions in production environments. The ideal candidate will have strong expertise in MLOps, DevOps, cloud platforms, Databricks, and AI/ML model lifecycle management.

Key Responsibilities

• Deploy and manage machine learning models in production.
• Implement MLOps best practices, CI/CD pipelines, and automation frameworks.
• Monitor model performance, data drift, system health, and operational metrics.
• Troubleshoot and support AI/ML applications and services.
• Maintain model governance, version control, and audit readiness.
• Improve reliability, scalability, and operational efficiency of AI platforms.
• Collaborate with Data Science, IT, Architecture, Security, and Business teams.

Required Skills

Machine Learning

• Machine Learning Fundamentals
• Supervised & Unsupervised Learning
• Deep Learning
• Feature Engineering
• Model Training & Evaluation
• Time Series Forecasting
• Model Explainability (SHAP, LIME)

MLOps & DevOps

• MLflow
• Model Registry & Versioning
• CI/CD for Machine Learning
• Automated Retraining
• Model Monitoring & Drift Detection
• Kubernetes
• Docker
• Jenkins / GitHub Actions / Azure DevOps
• Infrastructure as Code (Terraform)

Databricks

• Databricks Lakehouse
• Delta Lake
• Unity Catalog
• Feature Store
• Model Serving
• Workflows
• Delta Live Tables (DLT)
• Structured Streaming
• MLflow Integration

Generative AI / LLMOps

• Prompt Engineering
• RAG Architecture
• Agentic AI
• Fine-Tuning
• LangChain / LangGraph / LlamaIndex
• Vector Databases (Pinecone, Weaviate, Chroma, Databricks Vector Search)
• Foundation Models & LLM Evaluation

AI Operations

• Model Performance Monitoring
• Data & Concept Drift Detection
• Prompt Monitoring
• Cost Monitoring
• AI Governance
• Security & Compliance
• Observability & Root Cause Analysis
• Prometheus, Grafana, Datadog, Azure Monitor

Cloud (Azure Preferred)

• Azure Machine Learning
• Azure OpenAI Service
• Azure AI Search
• Azure Data Factory
• Azure Databricks
• Azure Kubernetes Service (AKS)

Qualifications

• Bachelor's Degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
• 7+ years of experience in MLOps, DevOps, AI/ML deployment, cloud platforms, and production support.
• Relevant certifications in Azure, Databricks, Kubernetes, DevOps, or MLOps are preferred.
• Arabic and English language skills are an advantage.

Preferred Experience

• Production AI/ML platforms
• Databricks ecosystem
• Azure cloud environment
• Generative AI and LLMOps implementations
• Enterprise-scale AI governance and monitoring

About Dautom

Dautom is a globally recognized leader in IT consulting services. With a steadfast commitment to innovation, excellence, and people-centric values, we empower organizations by strengthening their IT teams with top-tier talent.Our greatest strength lies in our skilled IT professionals. We have built a workplace culture founded on trust, respect, continuous learning, and career growth. As an employer of choice, we take pride in fostering a collaborative and supportive environment where employees thrive.Explore what sets us apart and be part of a company shaping the future of technology and talent.