Ai Infrastructure Consultant

1 day ago

Singapore INVOSYSTEMS SOLUTIONS PTE. LTD. Full time

Responsibilities:

- AI Requirement Analysis:

- Collaborate with cross-functional teams to comprehensively understand AI project requirements.
- Conduct thorough assessments of current and future AI workloads to determine infrastructure needs.
- Infrastructure Design:

- Develop and implement tailored IT infrastructure solutions for AI projects, considering compute, GPU, storage, and associated hardware and software components.
- Design scalable and efficient systems to support the organization's AI initiatives.
- Technology Evaluation:

- Stay abreast of emerging technologies and advancements in AI hardware and software.
- Evaluate and recommend appropriate technologies, platforms, and tools to meet project requirements.
- Leverage expertise in configuring cloud infrastructure to enhance AI solutions.
- Performance Optimization:

- Optimize AI infrastructure for performance, ensuring efficient utilization of resources.
- Implement best practices for scalability, reliability, and security in AI infrastructure design.
- Cloud Infrastructure Configuration:

- Demonstrate proficiency in configuring cloud infrastructure, with a focus on AWS, Azure, and GreenLake.
- Implement and manage AI solutions on cloud platforms, ensuring seamless integration and performance.
- Collaboration:

- Work closely with AI developers, data scientists, and IT teams to align infrastructure with project objectives.
- Collaborate with vendors and third-party service providers to source required hardware and software components.
- Documentation:

- Create comprehensive documentation for AI infrastructure designs, configurations, and procedures.
- Provide training and documentation for IT teams to ensure effective management and maintenance.
- Qualifications:

- Bachelor’s degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus.
- Proven experience as an AI Infrastructure Consultant or in a similar role.
- In-depth knowledge of AI technologies, frameworks, and algorithms.
- Expertise in designing and implementing AI infrastructure, including compute, GPU, and storage solutions.
- Familiarity with hardware acceleration technologies and GPU computing.
- Strong understanding of cloud computing platforms, with hands-on experience in AWS, Azure, and GreenLake.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration abilities.

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