Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

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

Job

UnivEdge Consulting LLC

Remote

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/15/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Title:
AI/ML Engineer / Data Scientist - AdTech / MarTech /
Retail Media Location:
Menlo Park, CA (Hybrid)
Job Description:
AI Engineer with 6-10 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.
Key Responsibilities:
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.
Required Qualifications:
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)