Senior Engineer - Machine Learning
Skills
About This Role
Overview
- ****Overview:****
- We are seeking a highly skilled Senior Machine Learning Engineer to design, deploy, and optimize AI applications at scale.
- This role combines expertise in ML model development with modern deployment practices, ensuring robust, scalable solutions in production environments.
- Inception is the UAE’s national-scale enabler in AI Research and Development.
- Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services.
- Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products.
- By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency.
- Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
- ****Responsibilities:****
- Design and implement ML models and pipelines for large-scale AI applications.
- Build and manage CI/CD pipelines for ML workflows.
- Deploy and maintain AI services using Azure Kubernetes Service (AKS) and Kubernetes.
- Integrate Agentic Pipelines for advanced AI orchestration.
- Optimize latency and scalability for LLM-based applications.
- Collaborate with cross-functional teams to ensure seamless deployment in production environments.
- Drive LLMOps best practices for managing large language models in cloud environments.
- Work on AI Search integration and modern deployment techniques.
- Ensure compliance and performance across Microsoft Azure Stack, with flexibility for GCP and AWS.
- ****Qualifications:****
Required Skills & Experience
- Strong experience in CI/CD and DevOps for ML systems.
- Hands-on with frameworks like VLLM and Slang for serving LLMs.
- Proficiency in Azure Pipelines, AKS, and container orchestration.
- Knowledge of LLMOps, latency optimization, and scalability strategies.
- Experience deploying AI applications in cloud environments at scale.
- Familiarity with Agentic Pipelines and modern ML deployment techniques.
- Preference for Microsoft Azure, but exposure to GCP/AWS is a plus.
- Solid understanding of production-grade ML systems and monitoring.
- Strong sense of ownership and the ability to drive tasks to completion
- ****Qualifications****
- Bachelor’s or master’s in computer science, AI/ML, or related field.
- 5+ years of experience in ML engineering and cloud deployment.
- Strong programming skills in Python and ML frameworks.
- Excellent problem-solving and collaboration skills.
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