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IBM

AI Engineer

Bengaluru, India
Machine Learning Deep Learning
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Description
 
  • Build and Deploy Models:
  • Design, develop, and optimize machine learning and deep learning models.
  • Implement algorithms to improve the performance and scalability of AI systems.
  • Data Preparation:
  • Handle data collection, cleaning, and preprocessing for large datasets.
  • Develop and maintain data pipelines to ensure efficient data processing.
  • Code and Integrate:
  • Write clean, efficient code and integrate AI models into production environments.
  • Optimize systems for reliability, scalability, and performance.
  • Innovate and Research:
  • Stay updated on the latest AI advancements and experiment with new models and techniques.
  • Prototype new ideas and contribute to the company’s AI strategy.
  • Collaborate Across Teams:
  • Work closely with data scientists, software engineers, and product managers.
  • Translate complex AI concepts into practical applications that meet business needs.
  • Evaluate and Optimize:
  • Assess and improve the performance of AI models using metrics like accuracy and recall.
  • Continuously optimize models for speed, memory usage, and resource efficiency.
  • Ensure Compliance and Ethics:
  • Ensure AI solutions adhere to ethical standards and regulatory requirements.
  • Implement measures to guarantee model transparency, fairness, and interpretability.
  • Deploy and Monitor:
  • Oversee the deployment of AI models and monitor their performance in production.
  • Set up automated monitoring systems to ensure models function effectively in real-world scenarios.
IBM
IBM
Business Development Business Information Systems CRM Data Management Software

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