Senior AI Architect

IBM

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 10 days ago

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How this pay compares to similar roles

Similar $210k

$164k most similar roles pay here $267k

This listing doesn't post a salary. Most similar roles pay $174,425–$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.

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TL;DR · Senior AI Architect

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We are seeking a Senior AI Architect to join our cutting-edge research and development team in Austin, Texas. This role involves leading the design and implementation of advanced machine learning models and systems that will drive innovation across various product areas. Day-to-day responsibilities include collaborating with cross-functional teams to identify business needs, developing scalable solutions using state-of-the-art techniques, and mentoring junior engineers. The ideal candidate should have extensive experience in Python or similar programming languages, proficiency in deep learning frameworks like TensorFlow or PyTorch, and a strong background in natural language processing (NLP) and computer vision. This position requires expertise in cloud platforms such as AWS or Azure for deploying AI solutions at scale, addressing complex business challenges with data-driven approaches.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git Scikit-learn PostgreSQL MLOps

What you'll do

Design and implement advanced machine learning models for complex business problems.
Lead the development of scalable AI solutions to enhance product offerings.
Conduct research on emerging AI technologies and integrate them into projects.
Optimize existing algorithms to improve performance and efficiency continuously.
Mentor junior team members in AI principles and best practices.

What we're looking for

Minimum 7 years of experience in designing and implementing AI solutions.
Proven track record in leading cross-functional teams for AI projects.
Expertise in machine learning frameworks such as TensorFlow and PyTorch.
Strong background in natural language processing (NLP) and computer vision.
Experience with cloud platforms like AWS, Azure, or Google Cloud for AI.
Excellent communication skills to collaborate with stakeholders effectively.

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