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12.0 - 16.0 years
0 Lacs
noida, uttar pradesh
On-site
Changing the world through digital experiences is what Adobe is all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Position Summary: Adobe Firefly Gen AI Models and services group seeks a Firefly models & Services architect for generative AI models. We need a dedicated architect with expertise in machine learning to support the creation, improvement, and deployment of model pipelines for Adobe's top products in various domains. As a Firefly model architect, you will join an outstanding team of ML and service engineers building the future of digital experiences. You will help set long-term technical strategy and work across multiple Adobe teams to architect the pipelines of the future foundation models at Adobe. You will make important architecture decisions and prioritize model optimization experiments. You will have the opportunity to develop novel ideas to advance the creative world through features in Adobe's products and reach millions of people worldwide! Job Responsibilities: - Help architect and optimize large-scale foundation model pipelines in Generative AI - Design and develop the GenAI backend services for Firefly, creating GPU-optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock, and other applications/surfaces - Collaborate with outstanding Applied researchers and engineers to bring ideas to production - Provide technical leadership and mentorship for junior team members - Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe's GenAI engineering effectiveness and efficiency - Review and provide feedback on features, technology, architecture, designs, and test strategies. What you'll need to succeed: - Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML - 12+ years of experience - 3+ years as a Lead/Architect - Excellent communication and technical leadership skills - Experience in tech leading a large number of contributors on time-sensitive and business-critical GenAI projects - Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models - Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features - Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done Preferred experience: - Experience training or optimizing models (CUDA, Triton, TRT, AOT) - Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms - Good publication record in Computer Science, AI/ML, or related fields Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.,
Posted 2 weeks ago
3.0 - 7.0 years
0 Lacs
haryana
On-site
As a GenAI Model Developer, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data in order to make predictions and recommendations. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Collaboration with software engineers to integrate Generative AI models into production systems will be a key aspect of your role. You should be able to evaluate application cases and the problem-solving potential of AI/ML algorithms, ranking them according to their likelihood of success. This will involve comprehending data through exploration and visualization, as well as identifying discrepancies in data distribution. Working with both structured and unstructured data, you will develop various algorithms based on statistical modeling procedures and build scalable machine learning solutions for production. Leveraging cloud platforms for training and deploying large-scale solutions, with a preference for AWS, will also be part of your responsibilities. You should have a working knowledge of managing the ModelOps framework and understand CI/CD processes for product deployment. Collaborating with data engineers to build data and model pipelines, ensuring accuracy, will be essential. You are expected to take complete ownership of assigned projects and have experience working in Agile environments. Proficiency in tools such as JIRA or equivalent project tracking tools is required to succeed in this role.,
Posted 1 month ago
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