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About the role
As a Computer Scientist at Adobe, you will be part of a team that is revolutionizing the way the world interacts with documents and document workflows through innovative cloud services and platforms. Your role will involve developing and deploying machine learning (ML) services from scratch to production, designing and testing large-scale ML services that cater to a vast user base worldwide, and ensuring high performance and low latency in distributed systems. Key Responsibilities: - Develop and deploy ML services from inception to production - Design, develop, and test large-scale, high-performant ML services for a global user base - Utilize Python and demonstrate significant experience in the design and development of ML services and software systems - Hold a B.S/B.E./B.Tech./M.S./M.Tech. in Computer Science or equivalent engineering degree - Showcase expertise in large-scale distributed systems and building RESTful services Preferred Qualifications: - Experience working with LLMs and GenAI systems - Hands-on experience with GenAI-based coding tools - Understanding of agentic architectures - Proficiency in object-oriented backend languages like Java - Knowledge of technical operations and CI/CD practices - Familiarity with containerization and orchestration tools such as Docker and Kubernetes - Experience with monitoring and observability tools like New Relic, Grafana, and Splunk About Adobe: Adobe is dedicated to empowering individuals and businesses through innovative platforms and tools that foster creativity, productivity, and personalized customer experiences. With industry-leading offerings like Adobe Acrobat Studio, Adobe Express, and Creative Cloud, Adobe is driving the next decade of growth. Adobe values a diverse and inclusive workforce where all employees are encouraged to contribute their ideas and make a meaningful impact. Please note that the company details section was omitted as it did not contain any additional information relevant to the job description. As a Computer Scientist at Adobe, you will be part of a team that is revolutionizing the way the world interacts with documents and document workflows through innovative cloud services and platforms. Your role will involve developing and deploying machine learning (ML) services from scratch to production, designing and testing large-scale ML services that cater to a vast user base worldwide, and ensuring high performance and low latency in distributed systems. Key Responsibilities: - Develop and deploy ML services from inception to production - Design, develop, and test large-scale, high-performant ML services for a global user base - Utilize Python and demonstrate significant experience in the design and development of ML services and software systems - Hold a B.S/B.E./B.Tech./M.S./M.Tech. in Computer Science or equivalent engineering degree - Showcase expertise in large-scale distributed systems and building RESTful services Preferred Qualifications: - Experience working with LLMs and GenAI systems - Hands-on experience with GenAI-based coding tools - Understanding of agentic architectures - Proficiency in object-oriented backend languages like Java - Knowledge of technical operations and CI/CD practices - Familiarity with containerization and orchestration tools such as Docker and Kubernetes - Experience with monitoring and observability tools like New Relic, Grafana, and Splunk About Adobe: Adobe is dedicated to empowering individuals and businesses through innovative platforms and tools that foster creativity, productivity, and personalized customer experiences. With industry-leading offerings like Adobe Acrobat Studio, Adobe Express, and Creative Cloud, Adobe is driving the next decade of growth. Adobe values a diverse and inclusive workforce where all employees are encouraged to contribute their ideas and make a meaningful impact. Please note that the company details section was omitted as it did not contain any additional information relevant to the job description.
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