Senior Machine Learning Engineer

Noida - India

Monthly Salary: Not Disclosed

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

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!

Adobe is seeking a Machine Learning Engineer to join the Genuine Engineering teama group dedicated to protecting Adobes ecosystem from fraud abuse and misuse through intelligent ML-driven systems.

Youll work on designing building and scaling machine learning models that detect fraudulent behavior prevent account sharing and ensure a safe and seamless experience for millions of Adobe users worldwide.

In this role youll collaborate closely with data scientists product engineers and infrastructure teams to take ML models from experimentation to full-scale deployment. Youll combine deep technical expertise in ML data engineering and distributed systems with a passion for solving complex high-impact problems.

Key Responsibilities

Lead the design development and deployment of production-grade ML models for fraud detection anomaly detection and behavioral analytics.
Translate research and prototypes into scalable reliable ML systems running across Adobes platforms.
Collaborate cross-functionally with product data and infrastructure teams to define technical requirements and deliver high-impact solutions.
Build and optimize data pipelines for feature engineering model training and real-time inference using modern tools (Databricks Spark etc.).
Ensure model scalability reliability and performance through continuous monitoring evaluation and iteration.
Contribute to MLOps practices including CI/CD model versioning and automated retraining workflows.
Stay ahead of advancements in ML/AI bringing new techniques and innovations to Adobes products.

Minimum Qualifications

Bachelors or Masters degree in Computer Science Machine Learning Data Science or related field.
6 years of professional experience building and deploying ML solutions at scale.
Strong programming expertise in Python with hands-on experience in PyTorch TensorFlow or similar frameworks.
Proven experience with distributed data systems (Spark Databricks or Hadoop ecosystem).
Deep understanding of the end-to-end ML lifecyclefrom data collection to deployment and monitoring.
Strong grasp of model optimization inference efficiency and production system integration.
Experience working in cloud environments (AWS Azure or GCP) with containerized workflows (Docker Kubernetes).
Excellent problem-solving skills and ability to work in a fast-paced collaborative environment.

Preferred Qualifications

Experience in fraud detection anomaly detection or behavioral modeling.
Familiarity with responsible AI frameworks focusing on fairness interpretability and transparency.
Contributions to open-source ML frameworks or publications in applied ML.

Adobe is proud to be anEqual Employment Opportunityemployer. 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.

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Required Experience:

Senior IC

Our CompanyChanging 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...