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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At a glance

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 New York. 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 expertise in Python, TensorFlow, and PyTorch, along with a strong background in natural language processing and computer vision. Experience with cloud platforms like AWS or Azure is highly desirable. This position offers the opportunity to work on large-scale datasets and tackle complex challenges in areas such as predictive analytics and intelligent automation.

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 data scientists and engineers in AI best practices and methodologies.

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.