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Lead the design and development of scalable, multi-cloud data platforms using Python, Snowflake, Databricks, and Microsoft Fabric, while mentoring engineers and optimizing ETL/ELT pipelines.
Senior AI Engineer builds and optimizes cloud-native AI/ML pipelines on GCP, integrating LLMs via Google's Gemini API and deploying scalable services with Databricks and CloudRun.
Validate quantitative financial models (Treasury, Fair Lending, Credit Risk) using Python/SAS, statistical modeling, and machine learning; write reports and present findings to management.
Build and lead AI/ML systems on Google Cloud, including LLM apps with Gemini, scalable pipelines with Databricks, and DevOps practices for UPS logistics tech.
Build and maintain data pipelines, ETL processes, and dashboards for Amgen’s supply-chain analytics using Python, Spark, SQL, and Tableau.
Role Overview: We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be…
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Build and deploy ML systems for semiconductor manufacturing, focusing on anomaly detection and virtual metrology using high-frequency time-series and tabular data.
Designs and builds AI systems and data pipelines to automate university operations, focusing on LLM integration, ML model deployment, and enterprise system integration using Python, TensorFlow/PyTorch, and cloud services.
Turn decades of data into intelligence that helps feed the world. VAS is the Operating System of the modern dairy with decades of longitudinal data for the most productive cows in the world. We hold a dominant US…
Real-time decision making with machine learning for risk assessments Ownership of risk infrastructure for Instant ACH in the US market Cross-functional collaboration with software engineers, data analysts, and data…
Build and deploy ML pricing systems that set real-time ancillary prices for travel partners like Capital One and Air Canada, using Python, Scala, and distributed data pipelines.
Build and deploy ML models for cybersecurity use cases like threat detection and risk scoring using Python, PyTorch, and cloud-native pipelines.
About the Role Gratia Health is looking for a self-motivated mid-level Product Analytics Engineer to own our data landscape. As the sole data practitioner, you will embed directly within our product and engineering…
Build and maintain cloud-based data pipelines and ETL processes in Python and SQL to feed predictive analytics, pricing, and fraud systems for an insurer.
Build and scale the ML platform powering PubMatic’s adtech stack, designing pipelines for petabyte-scale data, GPU-accelerated training/inference, and RAG systems to troubleshoot bid streams and deliver AI-driven insights.
Build and optimize machine-learning models that monitor transactions for money-laundering risks at a major Canadian bank.
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