Adobe is hiring an ML Platform Engineer for its Bengaluru office. The Advertising Cloud Search, Social, Commerce team which operates a leading digital marketing spend optimization platform will hire you as a full-time employee. The role requires building and expanding machine learning platform infrastructure which enables model lifecycle management and continuous integration and deployment pipelines and production monitoring and governance and automation for enterprise machine learning solutions.
Location: Bengaluru, Karnataka, India
Job ID: R163137
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Manage model lifecycle, including versioning, deployment strategies, rollback mechanisms, and A/B testing frameworks.
Coordinate model registries, artifacts, and promotion workflows in collaboration with ML Engineers.
Develop CI/CD and orchestration workflows using tools like GitLab CI, GitHub Actions, CircleCI, Airflow, Argo Workflows, or similar.
Review and optimize data science models including refactoring, containerization, deployment, versioning, and performance tuning.
Implement model testing, validation, and automated QA pipelines to ensure reproducibility and compliance.
Monitor models in production for data drift, concept drift, performance degradation, and system reliability.
Collaborate cross-functionally with data scientists, data engineers, and architects; build documentation and improve team processes.
Ensure governance, security, and compliance for ML pipelines (access controls, audit logs, model reproducibility, lineage).
Candidates must possess a Bachelor’s degree or an advanced degree in Computer Science Software Engineering or a related field or the candidate must have equivalent work experience.
Applicant demonstrates exceptional skills for developing complete machine learning systems which function on cloud services including Amazon Web Services and Microsoft Azure and Google Cloud Platform.
Practical experience in using MLOps frameworks which include MLflow, Kubeflow and Airflow together with Docker, Kubernetes and enterprise systems such as OpenShift.
Demonstrates proficiency in Python programming because of their ability to work with Go, Ruby and Bash programming languages and their expertise in ML libraries which include TensorFlow and PyTorch and Keras and scikit-learn.
knowledge about testing methodologies and version control systems and automation processes and infrastructure-as-code tools which include Terraform and CloudFormation.
Demonstrates the ability to work with multiple teams while also delivering clear explanations of technical information.
Strong analytical skills and dedicated to developing machine learning systems that can handle increasing workloads.
Candidates have the capacity to guide process enhancements while also participating in the development of platform strategic initiatives.
Adobe stands as the foremost worldwide authority in digital experiences which enables users and enterprises to create stunning visual content through their software products. Through its innovative solutions Adobe enables businesses to provide outstanding customer service which customers can access on all digital platforms.