2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Lead the design, training, fine-tuning, and evaluation of foundational models and LLMs for design-specific visual content tasks.
- Architect and develop production-ready Generative AI tools, APIs, platforms, and services from the ground up.
- Define and drive the long-term technical roadmap for Generative AI adoption across visual content production.
- Build and optimize end-to-end machine learning training and inference pipelines using cloud-based ML platforms.
- Lead research and experimentation involving diffusion models, multimodal models, and LoRA/PEFT fine-tuning.
- Establish standards for prompt engineering, model evaluation, data curation, and generated-content quality benchmarking.
- Partner with applied scientists, ML engineers, product managers, and creative leaders to align AI capabilities with business goals.
- Mentor junior design technologists and provide technical leadership across teams.
Requirements
- Experience with machine learning and LLM fundamentals, including model architecture, training and inference lifecycles, and execution optimization, or experience building complex software systems delivered to customers.
- Experience programming with at least one modern language such as Java, C++, or C#, or equivalent machine learning and LLM expertise.
- Experience building production software applications and understanding software development, distributed systems, and systems architecture.
- Experience training and deploying machine learning systems at scale, or experience with relational analytic databases and data infrastructure such as ElasticSearch, EMR, EC2, Glue, and Lambda.
- Six or more years of front-end technologist, engineer, or UX prototyper experience.
- Bachelor’s degree or above in computer science or equivalent experience.
- Hands-on experience with AI inference and training platforms such as Fal AI, Replicate, Hugging Face, or AWS SageMaker.
- An online portfolio demonstrating strong visual design skills, advertising experience across media and platforms, and a documented design process.
- Preferred experience with AWS database services including ElasticSearch, Redshift, and DynamoDB.
- Preferred knowledge of JavaScript/NodeJS, HTML/CSS, and responsive/adaptive design.
- Preferred experience architecting or operating AWS solutions, using managed ML/AI solutions, and working across organizational teams.
- Preferred experience mentoring, leading, or managing junior engineers or serving as a mentor or technical lead.
- A master’s degree, or a PhD with 6+ years of experience building machine learning models for business applications, is preferred.
Benefits
- The role offers the opportunity to work on photography, video, Generative AI, graphic design, 3D, usability design, and e-commerce content experiences serving millions of customers.
- The position involves cross-functional collaboration with applied science, engineering, product, and creative leadership teams.
- Amazon provides an accommodations process for candidates who need workplace adjustments during application, interviews, or onboarding.
Tech Stack
Categories
AI ResearchML Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.