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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI/ML solutions including generative AI and deep learning to improve industrial business process efficiency and decision-making.
Own the end-to-end machine learning lifecycle: dataset construction, model evaluation, deployment, integration, and ongoing monitoring in complex operational environments.
Lead technical solution architecture, collaborate with domain experts, and manage external/internal partners to ensure scalable, maintainable AI solutions conforming to IT and data governance standards.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
8+ years overall work experience with 2 to 4 years specifically in AI, machine learning, data science, or related technical roles.
Strong programming skills in Python, C++, or similar, with hands-on experience in machine learning frameworks (TensorFlow/PyTorch) and GenAI technologies.
Experience with industrial or complex operational environments preferred; relocation assistance provided.
Ideal Candidate Profile
Experienced in translating complex industrial or technical challenges into practical, scalable AI-driven solutions within cross-functional teams.
Strong technical judgment in selecting appropriate AI/ML approaches, balancing classical ML, deep learning, and generative AI techniques.
Skilled in cloud architectures (Azure, AWS), data engineering, and managing AI solution deployment aligned with IT and cybersecurity standards.