drjobs Senior Machine Learning Engineer - II

Senior Machine Learning Engineer - II

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were 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!


The Opportunity

The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality.

Develop ML models and services collaborate with teams improve user experience at Adobe Express.

Experience Requirements:

8 or more years of Proven experience offered or in a related occupation.

As a Machine Learning Engineer & Applied Researcher on the AI Foundation Pillar for Adobe Express you will develop new ML models platforms and services. Your work will cover the entire ML lifecycle from research to training and inference on multimodal datasets. You will collaborate with product engineering and research teams to integrate sophisticated ML capabilities into Adobe Express improving the user experience with intelligent suggestions automated content generation and personalized recommendations. You will also build scalable training pipelines deploy and supervise inference services and continuously enhance model performance for a global audience.

More Detailed Duties Include:

  • Research design and implement advanced ML models and pipelines for training and inference at scale including techniques in computer vision NLP deep learning and generative AI.
  • Integrate Large Language Models (LLMs) and agentbased frameworks to support multimodal creative workflows enabling rich contextaware content generation and dynamic user experiences.
  • Collaborate with multifunctional teams to translate product requirements into ML solutions iterating from proofofconcept to fully productionized services.
  • Develop robust platforms for continuous model training experimentation A/B testing and monitoring ensuring that model quality and relevance remain consistently high.
  • Leverage distributed computing technologies and cloud infrastructures to handle largescale data processing feature engineering and realtime inference optimizing for performance and costefficiency.
  • Implement reliable APIs and microservices that serve ML models to end users ensuring alignment to standard methodologies in security compliance scalability and maintainability.
  • Stay ahead of with emerging ML research tools and frameworks evaluating and integrating new technologies such as sophisticated LLMs reinforcement learningbased agents and innovative inference optimization techniques.
  • In the near future we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally we will integrate federated learning or domain adaptation strategies to reach diverse audiences.

Special Skills Requirements:

  • Proficiency in Python and Java for ML model development and systems integration.
  • Handson experience with deep learning frameworks including TensorFlow and PyTorch.
  • Expertise in handling distributed training and largescale inference platforms including Spark Hadoop or Kubernetes.
  • Demonstrated experience working with LLMs and agent frameworks to develop advanced AIbased experiences.
  • Proficiency in computer vision and NLP techniques for multimodal content understanding and generation.
  • Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML.
  • Proficiency with UNIX environments Git for version control and Jenkins for CI/CD processes.

If youre looking to grow your career Adobes the place for you. Discover what our employees are saying about their career experiences through the Adobe Life magazine.

Adobe values diversity. We support all individuals regardless of race gender or disability.

Adobe is proud to be anEqual Employment Opportunityand affirmative action employer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.

Adobe aims to make Adobe 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 emailor call.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each others employees.


Required Experience:

Senior IC

Employment Type

Full-Time

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