Data Engineer /AI Scientist /Engineer //Data Architect – (AdTech exp must) in Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible - contract
Kavin
Hi
Shared 3 Requirements following are:
mention candidate location and visa status
All visa fine
Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible
Position:1 - Data Engineer (AdTech exp must) in Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible – contract
Position:2 AI Scientist /Engineer –(AdTech exp must) in Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible – contract
Position:3 Data Architect – (AdTech exp must) in Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible - contract
Position:1 - Data Engineer (AdTech exp must) in Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible – contract
Data Engineer
Role Summary: AI Data Engineer with 5–8 years of experience building scalable data pipelines to support Data science models. Requires strong Streaming data and Spark/Python skills, solid experience with distributed data processing, and the ability to deliver reliable data systems for batch and real-time workloads. AdTech experience is a plus.
Location: Menlo Park, CA
Key Responsibilities
· Build and maintain batch and real-time data pipelines supporting Data Science, analytics, and operational use cases.
· Develop scalable data models, ETL/ELT pipelines, and distributed processing jobs across structured and unstructured data.
· Implement ingestion, transformation, streaming, storage, and data quality solutions using Spark, Kafka, Python, and modern data frameworks.
· Partner with product, engineering, analytics, and data science teams to deliver reliable, privacy-aware, and cost-efficient data platforms.
Required Qualifications
· BS/MS in Computer Science, Engineering, Data Science, or related field.
· 5–8 years in data engineering, software engineering, or platform engineering with strong experience building scalable data pipelines and distributed systems.
· Strong proficiency in Spark and Python, with hands-on experience in production-grade data engineering and cloud-based data platforms.
· Hands-on with Spark, Kafka, HBase, Presto, Hive Flink, Airflow/Beam, SQL/NoSQL, cloud platforms, and AI/ML data enablement.
Preferred Qualifications
· Good-to-have experience in AdTech e.g. Google Ads, digital advertising, retail media, audience platforms, or marketing measurement.
· Exposure Data science models, recommendation systems, experimentation, A/B testing, or real-time decisioning.
· Knowledge of Data privacy, data governance, Kubernetes, Docker, and microservices.
· Ability to interpret performance metrics, conduct A/B testing, and use analytics tools like Google Analytics 4 (GA4) to track user behavior and Return on Ad Spend (ROAS)
·
Success Traits
Success Traits: Ownership, hands-on execution, strong problem solving, collaboration, and the ability to build scalable data solutions with high reliability and quality.
Position:2 AI Scientist /Engineer –(AdTech exp must) in Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible - contract
AI Scientist – AdTech
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)
Position:3 Data Architect – (AdTech exp must) in Menlo Park, CA onsite (Locals 1st preference or look for PST zone candidates), Hybrid possible - contract
Data Architect – AdTech
Role Summary: Senior Data Architect/Engineer with 10+ years building large-scale AdTech platforms spanning ad serving, targeting, attribution, bidding, measurement, and real-time analytics. Requires strong Data Streaming, Python, and Spark skills plus proven experience delivering scalable data systems for Data science/ML workloads.
Location: Menlo Park, CA
Key Responsibilities
· Lead architecture for batch and real-time AdTech data platforms supporting delivery, Ad targeting, audience intelligence, and analytics.
· Design scalable data models and distributed systems for personalization, bidding, attribution, fraud detection, and measurement.
· Drive engineering decisions across ingestion, ETL/ELT, streaming, storage, and Data Science models using Spark, Kafka and Python.
· Partner cross-functionally to deliver reliable, privacy-aware, cost-efficient platforms while mentoring teams and guiding technical direction.
Required Qualifications
· BS/MS in Computer Science, Engineering, Data Science, or related field.
· 10+ years in software/data/platform engineering with strong AdTech expertise across ad serving, targeting, bidding, attribution, and measurement.
· Expertise in generating insights, experimentation and optimization to characterize performance
· Expert in Streaming data, Python and Spark; proven success building large-scale distributed data platforms and production-grade data pipelines.
· Good understanding of enterprise system architecture
· Hands-on with Spark, Kafka, HBase, Hive, Presto, Flink, Airflow/Beam, SQL/NoSQL, cloud platforms, and AI/ML data enablement.
Preferred Qualifications
· Experience in digital advertising, retail media, audience platforms, or marketing measurement.
· Ability to interpret performance metrics, conduct A/B testing, and use analytics tools like Google Analytics 4 (GA4) to track user behavior and Return on Ad Spend (ROAS)
· Understanding of Google Ads Scripts or rule-based automation to adjust bids and pause campaigns automatically based on real-time triggers
· Exposure to recommendation systems, experimentation, A/B testing, or real-time decisioning.
· Knowledge of data privacy frameworks, ad-tech regulations, Kubernetes, Docker, and microservices.
Success Traits
Success Traits: Ownership, architectural judgment, hands-on execution, cross-functional influence, and an ability to simplify complex AdTech data problems.
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Thanks & Regards,
Kavin
https://www.linkedin.com/in/kavin-r-4aab08240/
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E: ka...@rdsolutionsinc.com NMSDC Certified | Certified MBE Company |
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