AI Forward Deployed Engineer

IBM

Remote

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Work type
Remote
Location
Remote
Posted
24 days ago

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Similar $204k
$150k most similar roles pay here $256k

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · AI Forward Deployed Engineer

We are seeking a Senior AI Forward Deployed Engineer to join our dynamic and innovative team in Boston. This role involves working closely with clients to deploy cutting-edge AI solutions tailored to their specific needs, ensuring seamless integration of advanced technologies into existing systems. Day-to-day responsibilities include designing and implementing machine learning models, conducting data analysis, and providing technical guidance on AI best practices. The ideal candidate should have extensive experience with Python, TensorFlow, and Kubernetes, along with a strong background in cloud computing platforms like AWS or Azure. Additionally, proficiency in natural language processing (NLP) and computer vision is highly desirable. This position plays a crucial role in addressing complex business challenges through scalable and robust AI solutions, making it an ideal fit for those passionate about pushing the boundaries of what’s possible with artificial intelligence.

What you'll do

  • Design and implement machine learning models tailored to real-time data processing.
  • Optimize algorithms for efficient deployment on edge devices with limited resources.
  • Conduct A/B testing to evaluate model performance in diverse operational environments.
  • Monitor system performance and adjust parameters to enhance accuracy and speed.
  • Document code and methodologies for future reference and scalability.

What we're looking for

  • Minimum 3 years of experience in software engineering or related field.
  • Proficient in Python and at least one other programming language.
  • Strong background in machine learning and artificial intelligence frameworks.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Excellent problem-solving skills and ability to work independently.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.

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