Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Popular ML/AI role with mid-level experience and metro location yields moderate applicant competition.
Core ML and Generative AI skills transfer across industries, though manufacturing domain knowledge is preferred.
Explicit 6+ years plus mandatory Generative AI, LLM, MLOps, and technical stack requirements increase strictness.
Lead design, development, and deployment of machine learning, AI, and Generative AI solutions targeting complex business problems across enterprise processes.
Collaborate with business stakeholders, data engineers, developers, and digital teams to identify opportunities and translate them into scalable AI-powered models and actionable insights.
Drive AI innovation initiatives, support model lifecycle management, and contribute to enterprise AI strategy and best practices.
6+ years of experience in data science roles with AI expertise.
Proficient in Python, SQL, machine learning, deep learning, statistical modeling, and hands-on experience with Generative AI including Large Language Models (LLMs) and RAG architectures.
Experience with cloud platforms such as Microsoft Azure; AWS and Google Cloud are advantageous but not mandatory.
Work Experience Required: 6+ years
Experienced in deploying AI and machine learning models at enterprise scale with a focus on manufacturing, engineering, industrial, finance, supply chain, or operational domains.
Demonstrated ability to partner with diverse business and technical teams to deliver data-driven solutions and effectively communicate technical concepts to non-technical stakeholders.
Skilled in practical delivery and innovation in advanced analytics, AI-powered automation, and use of emerging technologies like Generative AI, agentic AI, and intelligent automation workflows.