Distinguished Technologist – Deep Learning

Distinguished Technologist – Deep Learning

Requirements

• 15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level.
• Master’s, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
• At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries.
• Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage.
• Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models.
• Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques.
• Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics.
• Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications.
• Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture.
• Effective technical leadership skills to influence diverse groups to move toward common goals/strategies.
• Ability to effectively communicate product architectures, design proposals and negotiate options at the most senior organizational levels within internal and external organizations.
• Flexible consultative skills to handle a diverse set of activities daily and adaptable to drive ever-changing priorities.
• Must be able to work in a global, complex, and diverse environment.

Responsibilities

• Oversee build of OpsRamp’s CoPilot for Autonomous Operations for the Hybrid Cloud.
• Understand latest in GenAI/ML for ITOM.
• Understand cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud.
• Act as a cross-functional product and technical expert for GenAI within engineering with close working relationships with customers, product management, support, and marketing supporting edge-to-cloud services offering.
• Provides consultation, design input, and feedback for product development and design reviews across multiple organizations and architectures.
• Help transition proof-of-concept implementations into R&D teams to accelerate new product delivery.
• Creates technical content such as designs, specifications, and initial software implementations.
• Guides and mentors less-experienced staff members to set an example of software systems design and development innovation and excellence, helping to grow engineers into more senior technical roles.
• Collect product feedback from field interactions to provide input into Engineering and Product Management to influence product roadmap direction.
• Maintain a high level of knowledge of OpsRamp SaaS product and product road maps, as well as that of the competition and prospective strategic partners.
• Travel 10% to 25% of the time to attend face-to-face meetings and presentations.

Preferred Qualifications

• Cloud Architectures
• Cross Domain Knowledge
• Design Thinking
• Development Fundamentals
• DevOps
• Distributed Computing
• Microservices Fluency
• Full Stack Development
• Release Management
• Security-First Mindset
• User Experience (UX)