Machine Learning Engineer 3, Adobe

Karnataka, India, Bangalore
April 14, 2026
Full Time

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Job Description

Adobe is searching for a Machine Learning Engineer 3 to join its Adobe Advertising Machine Learning team located in Bangalore. The position requires development of predictive models and optimization algorithms and Agentic AI solutions which will be deployed at large production scale. The team will handle both real-time and batch machine learning operations while tackling difficult artificial intelligence and machine learning problems which occur across billions of daily auctions on Adobe’s Demand Side Platform.

Job ID: R165002

Posted On: March 02, 2026

Experience: 4 – 6 years total (3+ years as Data Engineer primary, ML Engineer secondary)

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Main Duties

  • Develop classifiers, predictive models, and multivariate optimization algorithms on large-scale datasets.
  • Design and deploy scalable ML systems handling hundreds of billions of records in production.
  • Lead R&D initiatives in Agentic AI, Reinforcement Learning, forecasting, and conversion optimization.
  • Manage model lifecycle including versioning, deployment, rollback, and A/B testing frameworks.
  • Build CI/CD pipelines using GitLab CI, GitHub Actions, CircleCI, Airflow, or Argo Workflows.
  • Refactor, containerize, deploy, and performance-tune ML models.
  • Monitor production models for data drift, concept drift, and performance degradation.
  • Ensure governance, security, compliance, and reproducibility of ML pipelines.
  • Collaborate cross-functionally with data scientists, engineers, and architects.

Essential Qualifications

  • Three years of experience working with production machine learning systems, natural language processing and statistical modeling classifiers. 
  • Knowledge of AWS cloud infrastructure which enables me to create complete machine learning solutions that function from start to finish.
  • Practical knowledge of MLOps frameworks including MLflow and Kubeflow and Airflow.
  • Developed skills in Python programming and Java/Scala programming and SQL and Hive and Spark technologies.
  • Docker and Kubernetes which includes EKS and GKE and AKS and container-based systems.

Preferred Skills

  • Experience using at least one of the following three machine learning frameworks: scikit-learn, TensorFlow, Keras, and PyTorch.
  • Expertise in reinforcement learning and contextual bandits and control systems.
  • Observability tools which include Prometheus and Grafana and ELK and CloudWatch and Datadog.
  • Experience using infrastructure-as-code tools which include Terraform and CloudFormation.
  • The candidate should have experience working in Real-Time Bidding (RTB) and AdTech environments.

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