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Specialized senior ML delivery at a metro location with a known enterprise brand increases competition.
Requires deep ML/AI, LLMOps and industrial deployment experience, limiting cross-industry transferability.
Explicit 8+ years, 3+ years hands-on ML, and specific LLM/MLOps stack create stringent filters.
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Lead the implementation and delivery of AI solutions including Predictive AI, Machine Learning, Generative AI, and Agentic AI for industrial customers worldwide.
Manage customer engagement, project leadership, stakeholder communication, and post-deployment support to ensure customer success.
Provide technical leadership to cross-functional teams working on AI-driven industrial software applications.
Bachelor’s or Master’s degree in Engineering, Computer Science, AI, Data Science, Statistics, Mathematics, or related discipline.
At least 8 years of experience in customer-facing technology delivery, industrial software implementation, or AI project delivery.
Minimum 3 years of hands-on experience with AI, Machine Learning, Advanced Analytics, Data Science projects.
Proficiency in Python and AI/ML tools such as Scikit-learn, TensorFlow, PyTorch, Keras, plus experience with Generative AI frameworks and cloud AI platforms (Azure AI, AWS Bedrock, Google Vertex AI).
Experienced in delivering complex AI/ML solutions in industrial or enterprise environments involving predictive maintenance, reliability engineering, or asset performance management.
Skilled in managing customer relationships and leading multi-disciplinary technical teams through full project life-cycle from delivery to post-deployment support.
Familiar with advanced AI techniques including Generative AI, Agentic AI, LLMOps, and cloud-native AI service deployments.