About Rhino Federated Computing

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About The Role

Key Responsibilities

• 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.
  
  

Required Skills

• 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.
  
  

Preferred Skills

• 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.
• Location: Boston.