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# AI/ML Engineer / Data Scientist (AdTech / MarTech / Retail Media)

- **Company:** UnivEdge Consulting LLC
- **Location:** Menlo Park, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Artificial Intelligence, C++ (Programming Language), Computer Programming, Data Governance, Extract Transform Load (ETL), Data Systems, Distributed Computing Environment, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, NoSQL, Recommender Systems, Tensorflow, SQL Databases, Cloud Platform System, Feature Engineering, Data Ingestion, Pytorch, Apache Spark, Kubernetes, Information Technology, Apache Flink, Xgboost, Apache Kafka, Machine Learning Operations, Stream Processing, Data Pipelines, Docker, Microservices
- **Published:** June 12, 2026
- **Apply:** https://www.disabledperson.com/jobs/73068087-ai-ml-engineer-data-scientist-adtech-martech-retail-media

## About the Role

AI Engineer with 8-10 years of experience designing and deploying scalable AI/ML solutions for AdTech platforms covering targeting, bidding, personalization, attribution, and real-time analytics.

The role requires strong engineering fundamentals with hands-on ML model development, data pipelines, and real-time decision systems, leveraging modern distributed and cloud-based architectures., Bachelor's/Master's in Computer Science, Data Science, AI/ML, or related field.

6-10 years of experience in AI/ML engineering / Data Science engineering roles.

Strong programming skills in:

 * Python (mandatory)
 * Java or C++ (preferred)

Hands-on experience in:

 * ML frameworks (TensorFlow, PyTorch, XGBoost)
 * Distributed processing (Spark, Flink)
 * Streaming systems (Kafka)
 * SQL & NoSQL databases

Experience building production-grade ML pipelines and scalable data systems

Preferred Qualifications:

Experience in AdTech / MarTech / Retail Media ecosystems

Exposure to:

 * Recommendation systems
 * Real-time bidding systems
 * Experimentation platforms / A/B testing

Familiarity with:

 * Kubernetes, Docker, microservices
 * Privacy and regulatory frameworks (GDPR, data compliance)

## Description

Develop and deploy AI/ML models for:

 * Audience targeting & segmentation
 * Ad ranking & bidding optimization
 * Attribution & campaign performance modelling
 * Fraud detection & anomaly detection

Build and optimize end-to-end ML pipelines:

 * Data ingestion, feature engineering, training, and inference
 * Batch & real-time model serving

Design real-time decisioning systems for high-throughput, low-latency environments.

Collaborate with data engineers and architects to ensure:

 * Scalable data pipelines (ETL/ELT, streaming)
 * High-quality feature stores and model lifecycle management
 * Drive experimentation frameworks (A/B testing, causal inference) to continuously optimize performance metrics.
 * Ensure privacy-aware and compliant AI solutions aligned with data governance frameworks.


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