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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI/ML solutions, including generative AI, to improve business process efficiency and decision-making.
Own the end-to-end machine learning lifecycle including dataset construction, metrics definition, evaluation, and integration with enterprise IT and software environments.
Lead collaboration with domain experts and cross-functional teams to architect scalable AI solutions aligned with IT, cybersecurity, and data governance standards, and manage technical quality of partner-delivered work.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
Overall 8+ years of experience with 2 to 4 years professional experience in AI, machine learning, data science, or software engineering.
Proficient in programming languages such as Python or C++, and experienced with machine learning frameworks like TensorFlow or PyTorch.
Experience working with cloud platforms (Azure, AWS) and handling both structured and unstructured data.
Ideal Candidate Profile
Experienced in industrial, technical, or complex operational environments deploying AI/ML solutions.
Strong strategic and analytical skills with demonstrated ability to translate complex business and technical challenges into practical AI-driven solutions.
Capable of working across functions and managing partners/vendors while maintaining technical ownership and ensuring maintainability of AI solutions post-delivery.