Technical Specialist - AI

carrier

Hyderabad 10 Years Exp Posted 1h ago

Job Description

  • Design and develop AI solutions supporting predictive maintenance, warranty analytics, service diagnostics, and spare parts optimization.

  • Build intelligent applications using Machine Learning, Generative AI, and Agentic AI technologies.

  • Develop AI-powered assistants and automation solutions for service and support teams.

  • Support deployment and continuous improvement of production AI applications.

Engineering & Platform Development

  • Develop scalable software components and APIs for AI-enabled applications.

  • Integrate AI solutions with enterprise platforms and connected equipment ecosystems.

  • Collaborate with cloud and platform teams to deploy AI applications using Azure, AWS, or GCP.

  • Support application monitoring, maintenance, and performance optimization.

Data & Analytics

  • Analyze IoT, equipment, warranty, and service data to develop predictive models and AI insights.

  • Build data preparation and feature engineering workflows.

  • Work with data engineering teams to ensure reliable data pipelines for AI applications.

  • Support analytics and reporting initiatives to improve operational decision-making.

Collaboration & Technical Leadership

  • Work closely with aftermarket business teams, engineering, and product owners to understand business needs.

  • Participate in technical design discussions and solution reviews.

  • Mentor junior engineers and share technical knowledge within the team.

  • Stay informed about emerging AI technologies and industry trends relevant to aftermarket services.

Required Skills & Qualifications

  • 10–14 years of experience in software engineering, AI/ML, analytics, or digital engineering.

  • Experience developing AI/ML or Generative AI solutions using Python.

  • Knowledge of predictive analytics, LLMs, RAG, and intelligent automation.

  • Experience with Azure, AWS, or Google Cloud services.

  • Familiarity with MLOps, AI deployment, and cloud-native application development.

  • Understanding of data engineering concepts and modern software development practices.

  • Experience working with engineering, manufacturing, or service domain data is preferred.

  • Strong communication, collaboration, and problem-solving skills.

    • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.

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