AD
Full time
🤖 AI / ML
Machine Learning Engineer - 5 (MLOps / Platform Engineering) at Adobe
Listed by DevShelfHub
Not specified in posting
Hybrid
Mid-level · 2–5 yrs
About the Role
Adobe is a global leader in creative and digital experience technology, powering products like Creative Cloud, Adobe Firefly, and Adobe Experience Platform. As enterprises scale AI across marketing and creative workflows, demand for MLOps engineers who can manage model lifecycles at scale continues to rise. Adobe is hiring a Machine Learning Engineer focused on MLOps and platform engineering for its Advertising Cloud Search, Social, Commerce team.
What you'll do
- Manage model versioning, deployment strategies, rollback mechanisms, and A/B testing frameworks
- Coordinate model registries, artifacts, and promotion workflows with ML Engineers
- Develop CI/CD and orchestration workflows using GitLab CI, GitHub Actions, CircleCI, Airflow, or Argo Workflows
- Review and optimize data science models including code refactoring, containerization, deployment, versioning, and performance tuning
- Implement model testing, validation, and automated QA pipelines ensuring reproducibility and compliance
- Monitor models in production including data drift, concept drift, performance degradation, and system reliability
- Collaborate multi-functionally with data scientists, data engineers, and architects
- Ensure governance, security, and compliance for ML pipelines
What we're looking for
- Bachelor's or advanced degree in Computer Science, Software Engineering, or related technical field
- Strong ability to design and implement cloud architectures for end-to-end ML workflows on AWS
- Hands-on experience with MLOps frameworks: MLflow, Kubeflow, Airflow
- Proficiency with Docker, Kubernetes (EKS/GKE/AKS), and enterprise platforms like OpenShift
Skills & Technologies
Required
Bachelor's or advanced degree in Computer Science, Software Engineering, or related technical field
Strong ability to design and implement cloud architectures for end-to-end ML workflows on AWS
Hands-on experience with MLOps frameworks: MLflow, Kubeflow, Airflow
Proficiency with Docker, Kubernetes (EKS/GKE/AKS), and enterprise platforms like OpenShift
Strong programming in Python; familiarity with Go, Ruby, or Bash scripting
Experience with scikit-learn, TensorFlow, Keras, PyTorch
Software engineering guidelines: version control, testing, automation
Understanding of data science workflows, experiment tracking, and feature engineering
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers ownership of end-to-end ML workflows in a robust agile product development environment for digital marketing optimization.
- Manage model versioning, deployment strategies, rollback mechanisms, and A/B testing frameworks
- Develop CI/CD and orchestration workflows using GitLab CI, GitHub Actions, CircleCI, Airflow, or Argo
- Review and optimize data science models for containerization, deployment, and performance tuning
- Monitor models in production for data drift, concept drift, and performance degradation
- Collaborate with data scientists, data engineers, and architects across functions
- Ensure governance, security, and compliance for ML pipelines
- Work with MLOps frameworks: MLflow, Kubeflow, Airflow
- Exposure to AWS SageMaker, Azure ML, GCP Vertex AI
- Experience with observability tools: Prometheus, Grafana, ELK, CloudWatch, Datadog
- Part of Adobe's innovative Advertising Cloud product team
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity, and personalized customer experiences. Industry-leading offerings include Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, and GenStudio. With 30,000+ employees worldwide, Adobe is driving the next decade of growth powered by AI and human ingenuity.
- Industry
- Technology
- Company Size
- 500+
- Website
- adobe.com
🚀 Boost your chances
Skip the queue
Contact the recruiter directly at Adobe and follow up personally — most applicants never do.
Browse Recruiter DatabaseFree trial · 40 contacts · ₹0
Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 2–5 years
- Location
- Not specified in posting
- Work Mode
- Hybrid
- Category
- AI / ML
Share this Job
Recruiter Database
Want to stand out? Talk to the recruiter directly.
Most applicants never hear back. Our Recruiter Database gives you direct email access to the people making hiring decisions — so you can follow up personally and actually get noticed.
- Recruiter name, company & direct email address
- Sourced from active job postings across top companies
- Free trial — 40 contacts, no credit card needed