AI Architect (m/f/d)

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Requirements:

• 5+ years of experience in AI, machine learning, and AI system architecture, with a proven track record of deploying ML & AI solutions in production environments.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, Keras.
• Expertise in building scalable and efficient AI architectures.
• Experience with containerization tools such as Docker, Kubernetes, and CI/CD practices.
• Experience with model evaluation, hyperparameter tuning, and performance monitoring.
• Hands-on experience with monitoring, observability, and performance tracking tools for AI/ML applications.

Responsibilities:

• Work closely with product & program managers, data scientists, and engineers to understand business needs and translate them into AI architecture & solutions.
• Lead the design of AI systems and architectures, ensuring they are scalable, efficient, and aligned with business objectives.
• Develop and implement end-to-end AI solutions, from data collection and preprocessing to model deployment and continuous improvement.
• Drive the development of generative AI solutions using commercially available LLM services.
• Explore new AI technologies and algorithms to enhance AI systems.
• Lead the deployment of machine learning models in production environments using Docker, Kubernetes, and cloud platforms.
• Provide technical leadership and mentorship to junior AI engineers.