AI Infrastructure Specialist
15 hours ago
About the Job:
We are seeking an experienced AI Infrastructure Specialist to join our team at G42 Group. As an AI Infrastructure Specialist, you will be responsible for designing and implementing innovative AI solutions that align with client needs and drive efficiency.
Key Responsibilities:
- Design and Implementation (50%): Design and implement scalable AI solutions using G42's AI Orchestrator platform, ensuring robust, efficient, and secure deployments.
- Technical Collaboration (30%): Collaborate with cross-functional teams, including engineering leads, product managers, and AI researchers, to understand requirements and propose AI solutions.
- Innovation and Development (15%): Continuously explore and integrate new technologies to enhance our AI offerings and stay ahead of industry trends.
- Documentation and Compliance (5%): Ensure solutions adhere to compliance standards and best practices, maintaining thorough documentation of architecture and processes.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
- Minimum of 5 years of experience in AI architecture, software design, or related fields, particularly with AI platforms, products, or applications.
- Strong expertise in programming languages such as Python, JavaScript, Java, or similar, with a focus on developing and deploying AI/ML Platforms.
- Deep understanding of system design principles, including experience with modular monolithic, microservices, and event-driven architectures.
- Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and AI-specific services. More specifically, with Microsoft Azure stack solutions.
- Proficiency in containerization technologies such as Docker and Kubernetes, enabling scalable and efficient deployments.
- Familiarity with message queue technologies like RabbitMQ and Kafka for managing data workflows.
- Excellent problem-solving and debugging skills, with the ability to design innovative AI solutions to complex challenges.
- Ability to lead technical discussions, guide cross-functional teams, and mentor engineers in best practices and architecture standards.
- Strong communication and interpersonal skills, adept at engaging with clients, stakeholders, and technical teams.
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