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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI and ML solutions including generative AI to improve industrial business processes and operational efficiency.
Own the machine learning lifecycle from dataset creation through model evaluation, deployment, and monitoring for performance and cost.
Lead solution architecture and collaborate with domain experts to integrate AI tools into enterprise systems and industrial environments reliably and maintainably.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
Overall minimum 8 years of work experience with 2 to 4 years specifically in AI, machine learning, or a related technical role.
Strong programming skills in Python, C++, or similar languages and familiarity with modern development environments like VS Code.
Relocation assistance is provided; no explicit notice period mentioned.
Ideal Candidate Profile
Experience developing and deploying AI/ML solutions in industrial, technical, or complex operational settings.
Ability to choose appropriate AI/ML approaches (classical ML, deep learning, generative AI) based on problem context and stakeholder needs.
Strong technical leadership in solution architecture, partner/vendor management, and cross-functional collaboration to deliver scalable, production-ready AI systems.