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Machine Learning Engineer 4, Firefly GenAI Services

8 - 10 years

45 - 55 Lacs

Bengaluru Noida

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Training Backend Publishing Illustrator Machine learning Technical leadership Photoshop Adobe Recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

In this role, youll: Optimize and scale state-of-the-art generative AI models. Deploy AI-driven creative tools that empower millions globally. Solve real-world challenges in AI scalability and production readiness. 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 youll need to succeed Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML 8+ years of experience Excellent communication and technical leadership skills Experience in tech working with 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

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