Senior AI Engineer

17 Hours ago • 1-3 Years • Artificial Intelligence • Game AI

Job Summary

Job Description

A Senior AI Engineer at LikeCard will design, develop, and implement AI systems to solve complex challenges. This role involves leveraging machine learning, deep learning, and data analytics to create intelligent systems for data analysis, prediction, and informed decision-making. Key responsibilities include AI system development aligning with business objectives, collaboration with cross-functional teams (designers, artists, engineers), performance optimization of AI systems handling large datasets and complex algorithms, and staying updated with the latest AI research to maintain a competitive edge. The ideal candidate will possess a Bachelor's or Graduate degree in a relevant field and several years of experience in AI development, with a proven track record of designing and implementing AI systems.
Must have:
  • AI system design and implementation
  • Machine learning & deep learning expertise
  • Data analysis and prediction capabilities
  • Collaboration with cross-functional teams
  • Performance optimization of AI systems
  • Proficiency in Python, Java, or R
  • Experience with TensorFlow or scikit-learn

Job Details

A Senior Artificial Intelligence (AI) Engineer plays a pivotal role in designing, developing, and implementing AI systems that address complex challenges across various domains. Leveraging machine learning, deep learning, and data analytics, they create intelligent systems capable of analyzing data, predicting outcomes, and facilitating informed decision-making.


Key Responsibilities:

  • AI System Development: Design and maintain AI-enabled management systems, ensuring they align with business objectives and solve pertinent problems.
  • Collaboration: Work closely with cross-functional teams, including designers, artists, and other engineers, to develop and refine AI features throughout the project lifecycle.
  • Performance Optimization: Develop and execute performance tests on AI systems to measure their efficiency in handling large datasets and complex algorithms, ensuring optimal performance.
  • Research and Innovation: Stay updated with the latest AI research and implement new techniques as appropriate, contributing to the organization's competitive edge.


Requirements



  • Educational Background: A Bachelor's or Graduate's Degree in computer engineering, electrical engineering, computer science, or a related field, or equivalent experience.
  • Technical Proficiency: Strong understanding of data science, proficiency in programming languages such as Python, Java, or R, and experience with machine learning frameworks like TensorFlow or scikit-learn.
  • Analytical Skills: Strong analytical and problem-solving abilities, with attention to detail and concentration.
  • Experience: Several years of experience in AI development, with a proven track record of designing and implementing AI systems.


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