Technical Specialist - AI
carrier
Job Description
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Design and develop AI solutions supporting predictive maintenance, warranty analytics, service diagnostics, and spare parts optimization.
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Build intelligent applications using Machine Learning, Generative AI, and Agentic AI technologies.
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Develop AI-powered assistants and automation solutions for service and support teams.
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Support deployment and continuous improvement of production AI applications.
Engineering & Platform Development
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Develop scalable software components and APIs for AI-enabled applications.
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Integrate AI solutions with enterprise platforms and connected equipment ecosystems.
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Collaborate with cloud and platform teams to deploy AI applications using Azure, AWS, or GCP.
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Support application monitoring, maintenance, and performance optimization.
Data & Analytics
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Analyze IoT, equipment, warranty, and service data to develop predictive models and AI insights.
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Build data preparation and feature engineering workflows.
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Work with data engineering teams to ensure reliable data pipelines for AI applications.
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Support analytics and reporting initiatives to improve operational decision-making.
Collaboration & Technical Leadership
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Work closely with aftermarket business teams, engineering, and product owners to understand business needs.
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Participate in technical design discussions and solution reviews.
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Mentor junior engineers and share technical knowledge within the team.
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Stay informed about emerging AI technologies and industry trends relevant to aftermarket services.
Required Skills & Qualifications
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10–14 years of experience in software engineering, AI/ML, analytics, or digital engineering.
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Experience developing AI/ML or Generative AI solutions using Python.
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Knowledge of predictive analytics, LLMs, RAG, and intelligent automation.
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Experience with Azure, AWS, or Google Cloud services.
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Familiarity with MLOps, AI deployment, and cloud-native application development.
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Understanding of data engineering concepts and modern software development practices.
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Experience working with engineering, manufacturing, or service domain data is preferred.
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Strong communication, collaboration, and problem-solving skills.
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Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
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