Quick summary
- Work type
- Remote
- Location
- Remote
- Posted
- 24 days ago
Market check
Salary context
How this pay compares to similar roles
Similar $204k
$150k
most similar roles pay here
$256k
This listing doesn't post a salary. Most similar roles pay $162,000–$246,150.
Based on 240 similar postings.
Employer
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 · AI Forward Deployed Engineer
We are seeking a Senior AI Forward Deployed Engineer to join our dynamic and innovative team in San Jose. This role involves working closely with customers to deploy and optimize cutting-edge AI solutions tailored to their unique business needs. Day-to-day responsibilities include developing robust machine learning models, integrating AI systems into existing infrastructures, and providing technical guidance to ensure seamless implementation. 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 advancing our company’s mission to deliver scalable AI solutions that drive real-world impact across various industries.
What you'll do
- Design and implement machine learning models for real-time data processing.
- Optimize algorithms to enhance performance on edge devices.
- Develop predictive analytics solutions for IoT applications.
- Integrate AI systems with existing enterprise infrastructure.
- Monitor system performance and adjust parameters for optimal results.
What we're looking for
- Minimum 3 years of experience in deploying and maintaining AI models in real-world environments.
- Strong background in machine learning and deep learning techniques with practical application experience.
- Proficiency in Python and at least one ML framework like TensorFlow or PyTorch.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment.
- Excellent problem-solving skills and ability to work independently on complex projects.
- Knowledge of data security and privacy regulations relevant to AI deployments.
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