We are seeking an experienced AI Systems Engineer to join our growing team. As an AI Systems Engineer, you will be responsible for designing, developing, and implementing AI-based systems that improve the performance and efficiency of our client’s applications. Your expertise will play a critical role in building intelligent systems that leverage machine learning, deep learning, and other AI technologies to solve complex business problems.

The ideal candidate will have a strong background in AI system architecture, software engineering, and cloud computing. You will work closely with AI researchers, data scientists, and software engineers to ensure smooth deployment and integration of AI systems within an organization’s infrastructure.

Key Responsibilities:

• Design and implement scalable AI-based systems and solutions tailored to business needs.
• Work with cross-functional teams to integrate AI technologies into production environments.
• Collaborate with data scientists to optimize machine learning models for real-world deployment.
• Ensure smooth and efficient integration of AI models into operational systems.
• Develop and maintain AI workflows and pipelines, from data ingestion to model deployment and monitoring.
• Troubleshoot and resolve issues related to AI models, system performance, and reliability.
• Optimize AI systems for high availability, low latency, and scalable performance.
• Monitor system performance, conduct regular testing, and improve AI systems over time.
• Implement best practices for AI model deployment and operationalization in cloud-based environments.
• Work with DevOps teams to automate and streamline AI system processes.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• 3+ years of experience in AI system design, development, and deployment.
• Strong programming skills in languages such as Python, Java, C++, or similar.
• Proficiency in AI frameworks like TensorFlow, PyTorch, Keras, and others.
• Hands-on experience in cloud computing platforms such as AWS, Google Cloud, or Microsoft Azure.
• Experience with containerization tools like Docker and orchestration platforms such as Kubernetes.
• Strong understanding of AI model deployment, monitoring, and optimization techniques.
• Knowledge of software engineering principles, version control, and agile development.
• Excellent problem-solving skills and ability to work with cross-functional teams.

Preferred Qualifications:

• Experience with edge computing or distributed AI systems.
• Familiarity with microservices architecture and cloud-native development.
• Experience with real-time data streaming and analytics platforms.
• Familiarity with AI security principles and best practices.
• Strong communication skills and the ability to work in collaborative, fast-paced environments.

Join our team to help build the AI systems that are transforming the future of technology! If you’re passionate about solving complex problems and working with cutting-edge AI technologies, apply now to be part of an innovative, forward-thinking company.