**Experienced Full Stack Customer Engineer – AI/ML, HCLS Solutions at arenaflex**

Remote Full-time
About arenaflex At arenaflex, we're revolutionizing the way businesses transform and build what's next for their industry. Our cutting-edge technology, engineered for security, reliability, and scalability, runs the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers – developers, small and large businesses, educational institutions, and government agencies – see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees, and partners. About the Role We're seeking an experienced Full Stack Customer Engineer to join our AI/ML, HCLS Solutions team. As a key member of our team, you will work with Technical Sales teams as a machine learning subject matter expert to differentiate arenaflex to our customers. In this role, you will help prospective customers and partners understand the power of arenaflex, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks. Additionally, you will have the opportunity to help customers leverage specialized Machine Learning (ML) hardware developed by arenaflex (e.g., Tensor Processing Unit). You will work closely with customers and product development to shape the TPU platform. Responsibilities As a Customer Engineer, you will be responsible for: Working with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Providing machine learning expertise to support the technical relationship with arenaflex's customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to arenaflex. Working with customers to demonstrate and prototype arenaflex product integrations in customer/partner environments. Recommending integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using best practices on arenaflex. Traveling to customer sites, conferences, and other related events as needed. Qualifications To be successful in this role, you will need: A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 10 years of experience as a pre-sales engineer at an enterprise technology company or a similar customer-facing role. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). Preferred Qualifications While not required, the following qualifications would be beneficial: A Master's degree in Computer Science, or a related technical field. Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks). Experience in architecting and developing software or infrastructure for scalable, distributed systems. Experience in data and information management as it relates to big data trends and issues within businesses. Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space. Skills and Competencies To excel in this role, you will need: Excellent communication and presentation skills. Strong technical expertise in machine learning, big data, and numerical programming frameworks. Ability to work effectively in a fast-paced, dynamic environment. Strong problem-solving skills and ability to think critically. Ability to work collaboratively with cross-functional teams. Career Growth Opportunities and Learning Benefits At arenaflex, we believe in investing in our employees' growth and development. As a Customer Engineer, you will have opportunities to: Develop your technical expertise in machine learning, big data, and numerical programming frameworks. Collaborate with cross-functional teams to drive business growth and innovation. Participate in training and development programs to enhance your skills and knowledge. Take on new challenges and responsibilities as you grow in your career. Work Environment and Company Culture At arenaflex, we're committed to creating a work environment that is inclusive, diverse, and supportive. Our company culture values: Collaboration and teamwork. Continuous learning and growth. Innovation and creativity. Customer satisfaction and success. Compensation, Perks, and Benefits We offer a competitive salary range of $139,000-$213,000, plus bonus, equity, and 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. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. How to Apply If you're passionate about machine learning, big data, and numerical programming frameworks, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply. Click the link below to submit your application: We can't wait to hear from you! Apply for this job
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