Job Description
IBM is seeking talented individuals to join our team and help provide innovative solutions that deliver value to our clients.
# Client Engineering
Client Engineering is focused on creating solutions that address the most complex business challenges our clients face. We work closely with clients in real-time to co-create solutions that meet their needs.
Your Role and Responsibilities
IBM is seeking talented individuals to join our team in delivering value-driven solutions to our clients through innovative approaches. Weβre looking for experts who can leverage traditional machine learning and foundation models as well as both technologies to provide valuable solutions to our clients in industries such as finance insurance manufacturing and logistics.
# Key Responsibilities
Weβre seeking individuals who can:
- Leverage open-source models and IBM foundation model libraries to deliver value to clients through data learning validation testing and deployment
- Collaborate with clients to co-create solutions that address their business challenges
- Utilize IBMβs AI & Data Platform Watsonx to design and implement solutions that address client business challenges
Required Technical and Professional Expertise
Please note: Before your application please review our Japanese version Job Description.
For application on this position please kindly provide your Japanese skills and CVs written in Japanese.
At least one of the following requirements must
1. Industry Expertise
- Possess specialized knowledge in a specific industry (e.g. finance insurance manufacturing logistics)
- Have experience in systems proposal and construction (e.g. as a consultant or in a business data science department)
2. AI Foundation Model Expertise
- Possess knowledge and expertise in building and deploying AI foundation models
- Ability to design construct and validate AI solutions for client business challenges
- Ability to conduct experiments and evaluate AI solutions using hands-on prototyping techniques
Preferred Technical and Professional Expertise
1. Research and Publication Experience
- Significant research experience in top-tier scientific conferences and journals focusing on foundation models and large-scale machine learning models
- Strong leadership experience in open-source communities with a proven track record of contributions
2. Collaborative Team Experience
- Experience working as part of a team with multiple roles and organizations tackling complex problems and delivering impactful solutions
- Proven ability to collaborate effectively with others to achieve common goals
3. Project Management Experience
- Project management experience in system proposal and construction projects with a focus on leading teams and delivering results
Date Posted
10/11/2024
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