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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and own end-to-end AI and machine learning solutions, including generative AI, to improve efficiency and decision-making in industrial and business processes.
Lead AI solution architecture, integration, deployment, and lifecycle management, including monitoring model performance and operational reliability.
Manage external and internal partners throughout solution delivery, ensuring technical quality, documentation, and maintainability post-handover.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
8+ years overall professional experience, with 2-4 years specifically in artificial intelligence, machine learning, or a comparable technical role.
Proficiency in Python, C++, or similar languages; hands-on experience with ML frameworks like TensorFlow and/or PyTorch, and classical ML tooling.
Experience with cloud services (Azure, AWS), data engineering fundamentals (SQL, pipelines), and practical GenAI technologies.
Ideal Candidate Profile
Experienced in developing and deploying AI/ML solutions in complex industrial or technical operational environments.
Able to translate complex business needs into scalable AI solutions, demonstrating strong strategic and technical judgment on AI methods selection.
Skilled in end-to-end AI project ownership including solution architecture, partner management, and ensuring maintainability in production settings.