Senior Machine Learning Solutions Architect (Remote)

Key Skills

Deep Learning, Docker, Git, IT, Kubernetes-K8s, Machine learning techniques, Operations, Presentation skills, PyTorch

Job Description

Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

What You'll Do

• Work hands-on with Federal and Commercial prospects and customers to communicate the value of Fiddler technology; from demo to implementation and ensure the successful use of the Fiddler product, including installation, model onboarding, security set up, and integration with other systems
• Work directly with the sales team to understand our customers' technical needs, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, and ultimately close deals
• Present to executives, customers, and technical teams to convey the technical vision of Fiddler and the value of our platform
• Conduct training sessions with customers and potential partners to help with knowledge transfer
• Help author and contribute to market-facing publications, documentation, and FAQs
• Build relationships with Senior Technical stakeholders, to enable them to become Fiddler advocates and power users
• Successfully facilitate scoping and delivery of Proof of Concepts
• Act as technical liaison between Fiddler product management, marketing, engineering, and customer success

What We're Looking For

• 5+ years of industry experience, with a minimum of 2+ years in pre-sales or consulting
• High level of proficiency with AI techniques and tools
• Experience implementing AI solutions with deep-learning frameworks – especially for computer vision problems using PyTorch and common model architectures like ResNet and YOLO
• Strong presentation skills with a high degree of comfort speaking with executives and IT management
• Working knowledge of ML Operations and methodologies
• Familiarity with devops/infrastructure technologies, particularly Git, Docker and KubernetesHistory of success in technical sales or solutions at the enterprise level preferred
• Strong communication skills and empathetic listener
• Ideal candidates will have proven success in managing proof of concepts (PoV) and deployment of technical products, as well as experience directly supporting or working within public sector organizations
• Legally authorized to work within the US without the need for current or future company sponsorship

Pay Range in San Francisco California is $180,000 - $250,000 OTE

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits, and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.