Boston
Hybrid

Forward Deployed Engineer

Join Rhino to support our customers' AI strategies. Build pipelines, guide customers, onboard users, manage projects, debug issues, and advise product.

  • Manage a portfolio of customer delivery projects by collaborating with a joint team of our clients and Rhino Product, Engineering, and Sales.
  • Design and implement custom production grade federated AI pipelines, code training and inference workflows, and utilize AIOps tools, and model performance optimization.
  • Guide customers through production level federated AI engineering decisions and provide coding and configuration support-  such as hyper parameter settings, evaluation, experiment management, privacy testing, and AIOps while ensuring scalability, reliability, and security.
  • Onboard and educate users and equip the users with training and tutorials and demonstrate deep technical understanding of the product.
  • Provide project management support to help users achieve successful Rhino FCP implementations. Deliver communications such as executive-level updates and detailed iteration plans. Track metrics and weekly status reports to demonstrate progress and value.
  • Debug technical issues with users and implement effective support process improvements.
  • Advise the Product organization on features that would help advance use of the platform understanding the use cases required of customers.

Competencies

  • Established track record working with production level or productized AI applications, Deep Learning frameworks,  and tools, AI/MLOps, Cloud Computing, and GPU accelerated solutions in cloud computing/NVIDIA cloud and edge environments.
  • Production level Hands-on experience with design, development, fine tuning, and serving of imaging or language models or structured data AI models.
  • Effective with Generative AI ecosystem of tools such as Llama, GPT, Gemini, LangChain, Agentic Frameworks, and so on.
  • Proficient in Python Programming, REST APIs, Databases, and cluster management tools, including Docker Containers and Kubernetes.
  • 4+ years of AI experience.
  • Take full ownership of problems from start to finish, driving success for both the team and our customers.
  • Operate with high energy and adaptability, seamlessly switching contexts and managing multiple initiatives with broad accountability. Prioritize effectively and thrive in ambiguous environments.

Requirements

  • Healthcare, Biopharma, Financial Services, Public Sector industry experience.
  • Experience with sales and customer facing roles such as solutions engineer, sales engineer, solutions architect, and professional services engineer.
  • Project Management mindset and experience - delivery excellence, stakeholder engagement, and impact measurement.
  • Degree in a quantitative field, with computer science or engineering or biomedical informatics/bioinformatics preferred.

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