Senior Machine Learning / AI Engineer / Sr. Data Scientist – Strong with Generative AI (Minimum 8 years of experience needed, candidate should be based in US only) - Masters Degree OR PhD is mandatory

Job Title: Sr. Machine Learning / AI Engineer / Sr. Data ScientistLocation: Sunnyvale, CA (Onsite)Job Type: Full-time (With benefits)Mandatory Skills: Generative AI, Azure OR GCPMinimum experience should not less than 8 years in related field. Education: Masters Degree OR PhD is mandatoryNOTE: DATA ANALYST & SOFTWARE DEVELOPERS WILL NOT WORK HERE. Roles and Responsibilities:Platform Design & Architecture: Lead the design and development of a robust, scalable Generative AI Image Platform optimized for ecommerce, personalization, and recommendation use cases. Ensure the platform is multi-tenant and cloud-native, supporting a broad range of business needs.Scalability & Performance: Architect the platform to handle millions of real-time requests with low latency and high availability. Implement best practices for high performance and reliability in a cloud environment.Generative AI Models: Drive the development and integration of generative models (e.g., GANs, diffusion models) tailored for ecommerce and personalized content generation.SaaS Development: Oversee the full lifecycle of a SaaS platform, ensuring modular design, secure multi-tenancy, and smooth onboarding for diverse clients across the personalization and recommendation domains.Cross-functional Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into technical solutions, driving innovation in personalized image creation and ecommerce experiences.Cloud Infrastructure: Design cloud-native solutions leveraging technologies such as Kubernetes, microservices, and serverless architecture to enable seamless scaling and cost efficiency.What you'll bring:Master’s or PhD in Computer Science, Machine Learning, or related field.8+ years of experience in designing and deploying large-scale machine learning systems, with at least 2 years focused on generative AI and cloud-native platforms.Deep expertise in building SaaS solutions, including multi-tenant architectures, API design, and security best practices.Proven experience in scaling platforms to handle millions of requests, with strong knowledge of distributed systems, cloud infrastructure, and high availability patterns.Strong proficiency in generative AI techniques (GANs, diffusion models) and their application in personalization and recommendation systems.Experience with cloud platforms (GCP, Azure), container orchestration (Kubernetes), and microservices architecture.