Customer Facing Machine Learning Solution Engineer, Landing AI

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, with a strong focus on machine learning preferably in deep learning (ideally computer vision)
• Demonstrated understanding of the sales process (MEDDIC) and experience working closely with sales teams to support and drive solution sales
• Minimum of 5 years of relevant experience in developing and deploying machine learning models, with a proven track record in deep learning projects in a pre-sales or customer-facing capacity, preferably computer vision-related projects
• Minimum of 2 years of relevant experience in cloud data warehousing solutions, preferably Snowflake
• Outstanding communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Experience in developing and maintaining strategic partnerships within the technology ecosystem
• Demonstrated experience with model deployment either via REST API or containerization strategies such as Docker in various environments and architectures
• Excellent problem-solving skills and a passion for innovation and continuous improvement
• Ability to work independently and manage multiple projects simultaneously in a dynamic environment

Desirable

• We are looking for a passionate ML Solution Engineer with a specialization in Machine Learning/Deep Learning and Computer Vision to join our dynamic team
• This role is crucial not only in developing technical solutions but also in bridging the gap between technical capabilities and business goals through strategic sales and partnerships
• As an ML Solution Engineer at Landing AI, you will play a pivotal role in designing and implementing state-of-the-art vision-anchored solutions that solve real-world problems for our customers
• Your expertise in machine learning/deep learning, combined with your understanding of sales processes and channel partnerships, will enable you to effectively align our solutions with customer needs and market demands
• You will work closely with cross-functional teams, including product management, engineering, customer success, and sales/GTM, to ensure our solutions exceed customer expectations
• Take ownership of Landing AI’s pre-sales relationships and help develop technical champions during the sales process for our prospects, customers, and partners
• Engage with customers to understand their business challenges and technical requirements, and develop custom demos and tailored solutions that leverage Landing AI’s solution offerings
• Lead client presentations, whiteboard sessions, and technical workshops, effectively communicating the value, differentiators and capabilities of our solutions
• Led the design, development, and deployment of computer vision models and systems that address specific customer needs, ensuring performance, scalability, and reliability using Landing AI solutions
• Utilize Docker and other containerization technologies to deploy machine learning models in a variety of environments, ensuring consistent, scalable, and efficient deployment
• Collaborate with the sales team to articulate the technical and business value of our solutions, supporting sales presentations for both technical and executive audience, and proposal development
• Collaborate with product and engineering teams to provide customer feedback, integrate machine learning models into our product suite, enhancing our offerings and competitive edge
• Foster and expand partnerships with technology providers, OEMs, System Integrators (SIs), and industry organizations to enhance our technological capabilities and market presence
• Stay abreast of the latest developments in machine learning and computer vision technologies, and incorporate cutting-edge techniques into our solutions
• Provide technical guidance and mentorship to other team members, fostering a culture of excellence and continuous learning
• Contribute to the development of project proposals, SOWs, white papers, blogs/articles, and case studies that showcase our expertise and success stories