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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement AI/ML solutions including generative AI, machine learning models, and optimization algorithms to improve business process efficiency.
Own end-to-end machine learning lifecycle: dataset construction, metric definition, evaluation, deployment, and integration with enterprise IT and hardware/software systems.
Lead technical solution architecture, vendor management, and collaboration with domain experts to deliver scalable, maintainable AI solutions in industrial environments.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related field.
Overall 8+ years of experience, including 2 to 4 years in AI, machine learning, data science, or related technical roles.
Strong programming skills in Python, C++, or similar; experience with ML frameworks like TensorFlow or PyTorch.
Experience with AI/ML deployment in operational or industrial environments; relocation assistance provided.
Ideal Candidate Profile
Experienced in designing scalable AI/ML solutions with practical knowledge of GenAI technologies and cloud architectures (Azure, AWS).
Comfortable managing technical vendor partnerships, defining solution architecture, and integrating AI into complex industrial processes.
Ability to translate complex business needs into actionable AI solutions with strong documentation and cross-functional communication skills.