AI Solutions Engineer

The Tech Buzz • Los Angeles, CA

2d • Remote

About The Position

As an AI Solutions Engineer, you’ll be the trusted technical advisor and subject matter expert for our customers, driving business value, offering advice, and growing accounts. You’ll accomplish this by working closely with customers to onboard, enable use-cases, design templates and pipelines, and help drive adoption of the client’s technology. You will work with a world-class ML team to transform customer requirements into a reality. You will become a subject matter expert on AI industry trends, and best practices, and will work directly with customers to align the client's products to each individual customer use case. You will create reference materials and whitepapers that help customers solve problems with any products. You must be ready for technical discussions with engineers, and demonstrate the value of the client's technology in business discussions with directors and executives. You will help distill feedback from customers and help improve the client’s products while working with the product and engineering team. You will be part of a leadership team that owns the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process to make customers successful with the client’s products. You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders. Scope customer trials and projects. Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible. Create and deliver specialized technical demos according to the customers. Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team. Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions.

Requirements

• Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models in production.
• Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real-time scoring via REST APIs), and engineering considerations.
• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers).
• Experience with public cloud infrastructure, services, and best practices.
• Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes.
• Strong Communication Skills - Ability to simplify complex, technical concepts.

Responsibilities

• Act as a trusted advisor to our customers, while also building relationships with technical stakeholders.
• Scope customer trials and projects.
• Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible.
• Create and deliver specialized technical demos according to the customers.
• Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team.
• Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions.
• Onboard customers, enable use-cases, design templates and pipelines, and help drive adoption of the client’s technology.
• Transform customer requirements into a reality with a world-class ML team.
• Become a subject matter expert on AI industry trends, and best practices.
• Align the client's products to each individual customer use case.
• Create reference materials and whitepapers that help customers solve problems with any products.
• Engage in technical discussions with engineers and demonstrate the value of the client's technology in business discussions with directors and executives.
• Distill feedback from customers and help improve the client’s products while working with the product and engineering team.
• Own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process to make customers successful with the client’s products.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed