BriefCase
BriefCase

Machine Learning Engineer 5 Job in Adobe

Machine Learning Engineer 5

Adobe 4+ weeks ago
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Job Summary Role Overview: As a Development Engineer in Adobe's AI Platform team, you'll play a pivotal role in the development, operations, and support of cutting-edge AI and ML solutions. You will be responsible for building new features, maintaining existing ones, and ensuring the successful delivery of high-quality, scalable software. The role requires expertise in Golang/Python, Kubernetes, and cloud platforms, as well as experience in machine learning (ML) solutions and workflow orchestration. Key Responsibilities: Product Development: Hands-on product development and solution implementation. Develop new features and maintain existing ones, from concept to deployment. Responsible for the full development lifecycle, including planning, design, coding, debugging, testing, and deployment. Analyze and implement high-quality software solutions using Golang/Python. Project Planning and Risk Analysis: Plan, estimate, and evaluate project efforts and associated risks. Drive the design and implementation of new layers, solutions, workflows, and features. Optimize solutions for frugality without compromising stability or resiliency. Cloud Infrastructure & ML Solutions: Design, develop, and optimize cloud-scale products and services. Build, deploy, and manage infrastructure in public cloud environments, particularly AWS. Develop solutions using the latest machine learning tools like PyTorch. Collaboration and Optimization: Collaborate with cross-functional teams to ensure the successful deployment and scalability of products. Continuously optimize the solution for performance, scalability, and cost-efficiency. Required Qualifications: Education: Bachelor s or Master s degree in Engineering or a related field. Experience: 9-12 years of relevant industry experience, particularly in cloud-based software development. Proven expertise in building large-scale platforms using Kubernetes. Strong programming skills in Python and Go. Experience with ML development tools, especially PyTorch. Experience in deploying and managing cloud infrastructure, particularly in AWS. Skills: In-depth knowledge of cloud platforms, container runtimes, and Kubernetes. Ability to work with large data-driven products and services used by a wide customer base. Strong problem-solving and debugging skills. Equal Opportunity Statement: Adobe is an Equal Employment Opportunity and affirmative action employer, ensuring all individuals are treated equally without discrimination based on gender, race, age, disability, religion, sexual orientation, or any other protected status.
Qualification :
Bachelors / Masters degree in engineering.
Experience Required :

9 to 12 Years

Vacancy :

2 - 4 Hires

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