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Adobe brand and Bangalore location increase applicant density, balanced by senior, niche ML architecture requirements.
Requires deep AI/ML architecture and MLOps expertise, limiting cross-industry transferability.
Mandates 10+ years overall, 3+ years AI/ML plus specific MLOps, cloud and tooling requirements.
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Lead design and architecture of scalable, secure AI-driven platforms aligned with business goals.
Oversee development, deployment, and integration of machine learning models and AI services, ensuring best practices in data governance and MLOps.
Collaborate with cross-functional teams and mentor technical staff in AI technology adoption and implementation.
Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field.
10+ years in software architecture with minimum 3 years focused on AI/ML solution design and implementation.
Proficiency in AI programming languages (Python, Java, R) and hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
Experience with cloud platforms (Azure, AWS, GCP) and containerization technologies (Docker, Kubernetes) is highly desirable.
Experienced in building and scaling AI platforms with a strong understanding of MLOps and model deployment.
Proficient in managing AI projects aligned with organizational goals, including compliance with data privacy and ethical AI standards.
Demonstrates expertise in multiple AI/ML frameworks and cloud environments, capable of mentoring teams and driving AI innovations.