AI Software Engineer- Orchestration

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Written by AI from the job title and company, not by Oxenham Group, so some details may not match this job. The employer's own page has the real description.

Job Overview

Oxenham Group is seeking a skilled AI Software Engineer specializing in Orchestration to join our innovative team. In this role, you will be instrumental in designing and developing orchestration solutions that integrate various AI models and data processing frameworks. Your responsibilities will involve collaborating with cross-functional teams, leading the implementation of automation strategies, and ensuring the seamless operation of AI systems within the organization's infrastructure. You will play a pivotal role in enhancing our AI capabilities, improving efficiency, and driving the success of our technology initiatives.

Job Responsibilities

• Design and implement orchestrated workflows for AI model interactions across platforms.
• Collaborate with data scientists to understand AI model requirements and optimize their deployment.
• Develop and maintain orchestration frameworks that enhance data flow and processing efficiency.
• Monitor and troubleshoot existing AI applications to ensure high availability and performance.
• Evaluate and introduce new tools and technologies to improve orchestration processes.
• Document processes, workflows, and user guides to assist team members and stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Minimum of 3 years of experience in software development, with a focus on AI orchestration.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with AI frameworks (e.g., TensorFlow, PyTorch) and orchestration tools (e.g., Airflow, Kubeflow).
• Strong understanding of microservices architecture and containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving skills and ability to work under tight deadlines.

Technologies & Tools

The AI Software Engineer - Orchestration will work with a variety of technologies and tools essential for the development and deployment of AI systems. This includes programming environments such as Python and Java, orchestration frameworks like Apache Airflow and Kubeflow, as well as containerization tools such as Docker and Kubernetes. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) will also be beneficial to effectively manage AI resources and infrastructure.

Ideal Candidates

Ideal candidates for the position of AI Software Engineer - Orchestration will possess a strong analytical mindset and a passion for developing reliable AI systems. They should be adaptable, eager to learn new technologies, and exhibit a collaborative spirit, working well within a team environment. Furthermore, strong communication skills are essential for effectively conveying technical concepts to non-technical stakeholders. A proactive approach to problem-solving and the ability to manage multiple tasks simultaneously will also contribute to success in this role.