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Experienced Full Stack Enterprise Customer Engineer – Cloud AI Infrastructure Optimization

Work from home Full-time role Hiring

Are you a seasoned professional with a passion for cloud infrastructure and artificial intelligence? Do you thrive in a fast-paced, entrepreneurial environment where innovation and collaboration drive success? Look no further than arenaflex, a leading provider of cutting-edge technology solutions that empower businesses to transform and build what's next. As an Enterprise Customer Engineer at arenaflex, you will play a critical role in helping our clients unlock the full potential of their cloud infrastructure and leverage the power of AI to drive business growth. With a strong background in cloud infrastructure, machine learning, and technical sales, you will work closely with our internal Cloud AI teams to identify and assess big-scale AI opportunities that can benefit from AI-optimized infrastructure.

About arenaflex

arenaflex is a global leader in cloud infrastructure, platform, and business solutions that enable organizations to digitally transform their businesses. With a presence in over 200 countries and territories, we deliver enterprise-grade solutions that leverage Google's latest technology – all on the cleanest cloud in the industry. Our clients trust us to enable growth and solve their most critical business challenges.

Job Summary

As an Enterprise Customer Engineer at arenaflex, you will be responsible for:

  • Identifying and assessing big-scale AI opportunities that can benefit from AI-optimized infrastructure
  • Helping clients leverage accelerators within their overall cloud strategy by running benchmarks for current models, finding opportunities to use accelerators for new models, growing migration paths, and assisting with research fees to optimize performance
  • Working closely with internal Cloud AI teams to remove roadblocks and shape the future of services
  • Collaborating with clients to understand their needs and develop tailored solutions that meet their business objectives
  • Building and maintaining strong relationships with clients and internal stakeholders to ensure successful project outcomes

Key Responsibilities

* Develop and execute a strategy to identify and assess big-scale AI opportunities that can benefit from AI-optimized infrastructure

  • Work with clients to understand their current cloud infrastructure and identify opportunities to leverage accelerators and optimize performance
  • Run benchmarks for current models, find opportunities to use accelerators for new models, grow migration paths, and assist with research fees to optimize performance
  • Collaborate with internal Cloud AI teams to remove roadblocks and shape the future of services
  • Develop and maintain strong relationships with clients and internal stakeholders to ensure successful project outcomes
  • Tour to client sites and events as needed to provide technical support and showcase arenaflex's capabilities

Essential Qualifications

* Bachelor's degree in Computer Science, Mathematics, or a related technical field

  • 5+ years of experience in cloud infrastructure, machine learning, and technical sales
  • Strong understanding of cloud infrastructure, machine learning, and AI-optimized infrastructure
  • Experience working with clients to understand their needs and develop tailored solutions
  • Strong communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders
  • Ability to travel to client sites and events as needed

Desired Qualifications

* Experience with education and tuning large models (e.g., image, language, segmentation, advice, genomics) with accelerators

  • Experience running MLPerf benchmarks
  • Experience with performance profiling tools (e.g., Tensorflow profiler, PyTorch profiler, Tensorboard)
  • Experience with distributed education and optimizing performance versus cost
  • Experience designing and architecting large-scale infrastructure farms for professional AI use cases
  • Ability to interact with C-level or senior business leaders and influence decisions

Skills and Competencies

* Strong technical skills in cloud infrastructure, machine learning, and AI-optimized infrastructure

  • Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders
  • Strong problem-solving and analytical skills, with the ability to identify and assess big-scale AI opportunities
  • Ability to work in a fast-paced, entrepreneurial environment with multiple priorities and deadlines
  • Strong business acumen, with the ability to understand client needs and develop tailored solutions

Career Growth Opportunities and Learning Benefits

As an Enterprise Customer Engineer at arenaflex, you will have the opportunity to:

  • Work with a talented team of professionals who are passionate about cloud infrastructure and AI
  • Develop and execute a strategy to identify and assess big-scale AI opportunities
  • Collaborate with clients to understand their needs and develop tailored solutions
  • Work closely with internal Cloud AI teams to remove roadblocks and shape the future of services
  • Participate in ongoing training and development programs to stay up-to-date with the latest technologies and trends

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values collaboration, creativity, and customer satisfaction. Our work environment is fast-paced and entrepreneurial, with a focus on delivering exceptional results and exceeding client expectations. We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development.

Compensation, Perks, and Benefits

The USA-based salary range for this full-time role is $100,000-$150,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. In the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and applicable education or training. Your recruiter can share more about the specific salary range for your chosen location during the hiring process.

How to Apply

If you are a motivated and experienced professional with a passion for cloud infrastructure and AI, we encourage you to apply for this exciting opportunity. Please submit your application today, and let's work together to transform and build what's next for our clients. Apply Now! Don't hesitate to apply – we value a great attitude and a willingness to learn above all. Apply for this job

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