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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand but senior, specialized industrial ML role limits applicant density.
Requires deep manufacturing, digital twin, and industrial-data experience, limiting cross-industry transferability.
Explicit senior years plus mandatory GenAI, MLOps, and manufacturing domain skills increase filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead implementation strategies for Generative AI applications in manufacturing, focusing on scalable, production-grade AI services.
Drive technical innovation and collaborate cross-functionally to integrate AI features into digital manufacturing products.
Design and scale knowledge transfer strategies to build and grow an ambitious AI team within the organization.
Minimum Requirements
10-16 years professional experience with a Bachelor's degree; or 8-10 years with Master's; or 5-7 years with PhD in Computer Science, AI, Data Science, Mathematics or related quantitative field.
Proven experience in building scalable, secure, and production-grade AI services with performance and cost optimization.
Strong software engineering skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, JAX).
Experience deploying production AI solutions (MLOps) including data pipelines, monitoring, retraining, and scalability in manufacturing or real-world settings.
Ideal Candidate Profile
Experienced in multi-modal AI and Generative AI solutions tailored to manufacturing, including predictive maintenance, defect detection, simulation, and demand forecasting.
Familiarity with frameworks like Langchain, Langgraph and applying supervised, unsupervised, and reinforcement learning algorithms in industrial contexts.
Demonstrated ability to lead innovation in AI, manage technical teams, and integrate AI within complex manufacturing ecosystems including digital twins and industrial data systems.