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Data Engineer
Build and maintain AI-powered data pipelines for anti-money-laundering systems that banks and fintechs use to detect financial crime.
Expert ML Software Engineer
What Impact You'll Have We are searching for a machine learning (ML) engineer in support of our customer in Springfield, VA. This ML Engineering role is onsite and combines software engineering and machine learning…

Machine Learning Engineer II
Design, build, and deploy machine learning models for identity verification, fraud detection, and document processing to power CLEAR’s secure identity platform.
Associate Engineer (Data Science)
Designs and implements AI/ML algorithms for ad decisioning, bid auctioning, and creative optimization in digital advertising, using Python, TensorFlow, and real-time data pipelines.
Senior Data and AI Engineer
Senior Data and AI Engineer designing, building, and operating data platforms, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business using Azure Fabric data stack and Python.
Technical Lead - Data Engineer (Data&AI)
Location: Gurgaon,None,None Lead Data Engineer Overview We are looking for a Lead Data Engineer who combines hands-on multi-platform expertise with strong leadership in data architecture, pipelines, and CI/CD. This…
Senior Software Engineer II - Fraud Squad - Account Integrity (Java)
About the role: Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to…
Senior Engineer - Data Science
Builds, deploys, and maintains ML models using OCI Data Science and Python, focusing on feature engineering, model governance, and MLOps pipelines for production environments.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Portcast, a Singapore-based logistics technology startup, responsible for taking ML models into production, owning the full lifecycle from research to deployment, and working on visibility, prediction, demand forecasting, and freight audit problems.

Principal Machine Learning Engineer, Ads & Promos Delivery
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.

Senior Staff Machine Learning Engineer
Leads AI-driven ads and promotions delivery systems at DoorDash, designing real-time ranking/relevance models using deep learning, LLMs, and sequence modeling to optimize merchant-consumer matching across search/discovery platforms.
Machine Learning Engineer, Drive
Build and deploy ML models for delivery ETAs, prep-time prediction, and logistics optimization at DoorDash Drive, using deep learning, reinforcement learning, and multimodal AI.
Senior Applied AI Engineer 3 - (AI, Data Science, Analytics)
- Build LLM-powered workflows - Build machine learning models - Build retrieval-augmented generation workflows - Collaborate with mission customers - Design AI enabled analytics applications - Develop anomaly detection…
Data Engineer Principal_3003
Principal Data Engineer re-engineers an enterprise Azure Synapse data platform, reverse-engineering pipelines and migrating workloads to Databricks while preserving governance and data quality.
Data Scientist, Development (52350)
Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring a problem-solving mindset, fresh perspectives, and sharp…
Data Scientist (Mid-Level)
SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and…
Senior Software Engineer, Data Systems
Designs and maintains a cloud-native data/ML platform for Hive’s event-marketing SaaS, building pipelines, feature stores, and observability for real-time audience data (millions of attendees, billions of interactions) to power personalized campaigns and model-driven recommendations.