Senior Consultant - AI Engineering

IBM

Remote

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Work type
Remote
Location
Remote
Posted
32 days ago

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Similar $214k
$171k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $181,068–$246,150.

Based on 240 similar postings.

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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.

IBM currently has 743 open roles on FindRole.

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

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At a glance

TL;DR · Senior Consultant - AI Engineering

As a Senior Consultant in AI Engineering based in San Jose, you will join a dynamic team focused on leveraging cutting-edge technologies to solve complex business challenges. Your primary responsibilities include designing and implementing advanced AI solutions, collaborating with cross-functional teams to integrate machine learning models into production environments, and providing technical guidance to junior engineers. You will work extensively with Python, TensorFlow, and Kubernetes, while also staying abreast of the latest developments in natural language processing and computer vision. This role involves working on large-scale data sets and developing scalable solutions for diverse industries, requiring a deep understanding of both AI principles and practical engineering challenges.

What you'll do

  • Design and implement advanced AI solutions using cutting-edge technologies.
  • Optimize existing systems for efficiency and scalability in AI applications.
  • Conduct complex data analysis to inform AI model development and improvements.
  • Develop innovative machine learning algorithms tailored to client needs.
  • Provide expert consultation on AI strategy and technology integration.

What we're looking for

  • Minimum 7 years of experience in software engineering and AI.
  • Proven track record in designing and implementing complex AI systems.
  • Expertise in Python, Java, or C++ for developing machine learning models.
  • Strong background in cloud platforms like AWS, Azure, or GCP.
  • Excellent problem-solving skills with a focus on innovative solutions.
  • Experience leading cross-functional teams and mentoring junior engineers.

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