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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement AI/ML solutions including generative AI and deep learning to improve business process efficiency.
Own the entire machine learning lifecycle including dataset construction, evaluation metrics, and deployment/integration into operational systems.
Lead solution architecture definition, technical partner management, and ensure maintainable, production-grade AI tools in industrial environments.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
Overall 8+ years of experience, including 2-4 years in AI, machine learning, data science, or related technical roles.
Strong programming skills in Python, C++, and proficiency in ML frameworks like TensorFlow or PyTorch.
Experience with AI/ML solution deployment and integration in industrial or operational systems; hands-on with cloud platforms (Azure, AWS).
Ideal Candidate Profile
Experienced in translating complex business/technical challenges into scalable AI-driven solutions across industrial or technical domains.
Capable of defining end-to-end AI solution architecture and leading cross-functional teams and external vendors.
Comfortable managing AI model lifecycle, data strategy, and continuous innovation with strong analytical and strategic orientation.