EnergyTech Client #1 | AI Developer
Sd-Solutions👥 201 - 500 employees🏢 Staffing And Recruiting
Design, build, and ship end-to-end AI features, focusing on backend orchestration and frontend interfaces for high-performance web applications.
Forward Deployed AI Engineer, Japan / Korea (Senior/Principal Level)
🕒 27 days ago
AI/ML ApplicationsFull-stack DevelopmentSoftware EngineeringData Engineering
📜 Description
- Develop full-stack AI/ML applications to demonstrate real enterprise use cases.
- Collaborate with customer teams to drive AI use cases from prototype to production.
- Advise on AI roadmaps, solution design, and deployment strategies.
- Standardize successful patterns into repeatable architectures and solutions.
- Mentor teams and contribute to resources that enhance AI capabilities.
🛠️ Requirements
- 7+ years of experience in building and deploying production-grade systems.
- 2-4 years of experience in building ML systems or GenAI applications.
- Strong software engineering and applied AI/ML skills.
- Experience with foundation models and agentic workflows.
- Deep understanding of LLMOps/MLOps practices.
- Ability to engage with technical and executive audiences.
✨ Benefits
- Generous PTO Policy.
- Flexible WFH Policy.
- Mental & Physical Wellness programs.
- Phone and Internet Reimbursement program.
- Access to Continued Career Development.
- Comprehensive Benefits and Competitive Packages.
- Paid Volunteer Time.
Full job description
Cloudera seeks a seasoned Forward Deployed AI Engineer to design and implement scalable AI/ML solutions, driving AI adoption and operationalizing advanced capabilities for enterprise customers.
Description
- Develop full-stack AI/ML applications to demonstrate real enterprise use cases.
- Collaborate with customer teams to drive AI use cases from prototype to production.
- Advise on AI roadmaps, solution design, and deployment strategies.
- Standardize successful patterns into repeatable architectures and solutions.
- Mentor teams and contribute to resources that enhance AI capabilities.
Requirements
- 7+ years of experience in building and deploying production-grade systems.
- 2-4 years of experience in building ML systems or GenAI applications.
- Strong software engineering and applied AI/ML skills.
- Experience with foundation models and agentic workflows.
- Deep understanding of LLMOps/MLOps practices.
- Ability to engage with technical and executive audiences.
Benefits
- Generous PTO Policy.
- Flexible WFH Policy.
- Mental & Physical Wellness programs.
- Phone and Internet Reimbursement program.
- Access to Continued Career Development.
- Comprehensive Benefits and Competitive Packages.
- Paid Volunteer Time.
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