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Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Maintains and expands industrial data-historian systems (AVEVA PI/IP.21), curates clean datasets, and prepares AI-ready data pipelines for renewable-energy monitoring and predictive analytics.
Build and run ML pipelines that detect unusual patterns in healthcare claims and pharmacies using Python, FastAPI, and unsupervised models, with Oracle-backed ETL and on-prem deployment.
Senior Machine Learning Engineer Department: Engineering Location: San Francisco Employment Type: FullTime About the Role A growing AI and Data Science team at a healthcare-focused company is looking for a Senior…
Build predictive models and ML solutions for finance, insurance, and operations using Python, SQL, and cloud-native tools to drive data-driven decisions and business growth.
Build and deploy ML models that power travel-management features, collaborating with data analysts and engineers to turn business KPIs into production-ready AI systems.
Lead the architecture of Honeywell’s enterprise AI platform across cloud, edge, and hybrid environments, defining standards for lakehouse, streaming, vector databases, and MLOps to scale real-time inference and agentic systems.
Build and deploy ML models for creative understanding across vision, video, and language, then ship them into Adobe’s products to power insights and recommendations for marketers and creators.
Builds scalable data pipelines and APIs for analytics products like Portfolio Optimizer and Ad Insights using Python, Spark, and React.
Build production-ready AI systems using cloud AI services, generative models, deep learning, and neural networks for enterprise applications.
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.
Design and deploy AI/ML applications using cloud services and GenAI models, including deep learning, neural networks, and chatbots, in a production environment.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Senior Software Engineer builds and maintains a cloud-native data platform using Kubernetes, Spark, and Trino to power enterprise analytics and AI/ML at a large bank.
Build and maintain data pipelines using Databricks, PySpark, and Python to process and transform healthcare data for analytics and ML.
Build and optimize scalable data pipelines and generative-AI systems for Amgen’s manufacturing knowledge layers, using PySpark, Databricks, vector stores, and LLMs.
Lead analyst builds and challenges stress-testing models to forecast losses and recommend risk-mitigation strategies for a large bank.
Build and deploy ML models and data pipelines to detect fraud and improve safety for Zillow’s rental marketplace, using large-scale data and modern analytics tools.
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