AI Architect
3 days ago
Company Overview:
Pacific Group of Companies is a leading provider of outsourced accounting services, established in 2008. We have expanded our services to include software, recruitment, and marketing fields. Our mission is to be recognized as a quality-conscious and dependable outsourcing partner for growing businesses globally.
Job Summary:
We are seeking an experienced AI Architect to design and develop AI architectures that support high-performance, scalable AI and machine learning systems. The ideal candidate will have a strong background in machine learning algorithms, neural networks, and deep learning techniques, as well as hands-on experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn.
Key Responsibilities:
• Design and develop AI architectures that support high-performance, scalable AI and machine learning systems.
• Collaborate with data scientists, data engineers, and software engineers to develop, train, and deploy AI models.
• Evaluate and recommend AI tools, frameworks, and best practices for effective AI development.
• Conduct code reviews, troubleshoot, and optimize AI models and algorithms.
• Ensure compliance with data security, privacy, and ethical AI standards.
• Mentor and guide junior engineers and AI developers in best practices for AI model development.
Requirements:
• Proven experience as an AI Architect, AI/ML Engineer, or a similar role.
• Strong expertise in machine learning algorithms, neural networks, and deep learning techniques.
• Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn.
• Excellent problem-solving skills with the ability to handle complex AI challenges.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proficiency in programming languages such as Python, R, Java, and C++.
• Knowledge of DevOps practices and AI model lifecycle management (MLOps).
• Experience with cloud platforms like AWS, Azure, or Google Cloud AI services.
• Strong understanding of big data technologies and tools (e.g., Hadoop, Spark) and experience working with large datasets.
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