OmniOps

www.omniops.sa

2 Jobs

52 Employees

About the Company

Accelerating Saudi Arabia's AI transformation by deploying, scaling, and managing cloud-native high-performance computing (HPC) clusters. We provide our partners with unmatched expertise and innovative cloud-native solutions to unlock the full potential of their AI technologies.

Listed Jobs

Company Name: OmniOps
Job Title: Senior AI System Engineer
Job Description: **Job Title:** Senior AI System Engineer **Role Summary:** Design, develop, and optimize AI infrastructure solutions for diverse clients, leveraging GPU computing, HPC environments, and container orchestration to deliver scalable, high‑performance systems. **Expectations:** - Lead complex AI engineering projects from concept through deployment. - Mentor and guide junior engineers, fostering teamwork and technical growth. - Stay current with HPC and GPU advances to continuously improve architecture. **Key Responsibilities:** - Design and develop AI system solutions for client AI technology infrastructures. - Optimize and deploy machine‑learning models using NVIDIA TensorRT, CUDA, and related GPU technologies. - Architect scalable, efficient systems with seamless integration and performance. - Implement and manage containerized applications using Docker and Kubernetes. - Troubleshoot system issues, ensuring high reliability and performance. - Optimize distributed computing systems for performance, scalability, and efficiency. - Collaborate with data scientists and AI researchers to implement and tune AI algorithms on HPC clusters. - Integrate AI workflows with HPC platforms (GPUs, TPUs, accelerators). - Apply advancements in HPC technologies to improve AI infrastructure. **Required Skills:** - 5–7 years of software development or systems engineering focused on AI/ML. - Proficiency in Python or C/C++. - Deep experience with NVIDIA GPU computing (TensorRT, CUDA). - Strong knowledge of systems architecture, networking, and HPC concepts. - Practical experience with Docker, Kubernetes, MPI, SLURM, OpenMP, and Lustre file systems. - Excellent problem‑solving, collaborative and independent work abilities. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. - Certifications in GPU computing, HPC, or cloud technologies are a plus.

Company Name: OmniOps
Job Title: Back-end Python Engineer
Job Description: Job title: Back-end Python Engineer Role Summary: Design and maintain scalable backend systems for AI-powered automation platforms. Integrate AI/ML models, optimize data pipelines, and develop APIs to support document ingestion, workflow automation, and AI deployment. Expectations: - 1-3 years of Python-focused backend development experience. - Proficiency in Python frameworks (FastAPI, Flask). - Experience with relational databases (PostgreSQL, MySQL) and NoSQL/vector databases (Pinecone, Weaviate). - Knowledge of asynchronous programming (async/await, Celery, RabbitMQ). - RESTful API design expertise. - Cloud platform (AWS/GCP/Azure) and Docker containerization understanding. - Preferred: AI/ML workflows (LLM APIs, PyTorch, Hugging Face), distributed systems (microservices, event-driven architectures), DevOps/CI-CD tools (GitHub Actions, Terraform), and performance optimization experience. Key Responsibilities: - Design, develop, and maintain scalable Python backend services for AI infrastructure. - Build/optimise data pipelines for document ingestion, retrieval-augmented generation (RAG), and workflow automation. - Integrate and optimise AI/ML models (LLMs, fine-tuned models) for production inference. - Develop RESTful/gRPC APIs for internal and external service communication. - Manage databases (PostgreSQL, vector DBs) and Redis caching for low-latency operations. - Collaborate with AI/ML engineers to deploy, monitor, and maintain models in production. - Write clean, documented code with unit/integration tests. - Participate in code reviews, architecture discussions, and sprint planning. Required Skills: - Python, FastAPI/Flask, PostgreSQL/MySQL, Pinecone/Weaviate, async/await, RESTful APIs, AWS/GCP/Azure, Docker. Required Education & Certifications: Not specified.