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Data Engineer to work onsite in Springfield, VA supporting a government contract, focusing on data ingestion, pipeline development, cloud deployment, database architecture, streaming data processing, workflow orchestration, and AI/ML integration using Python, AWS/Azure, Kafka, Airflow, and various database technologies.
Leads data science initiatives for global clients, designing ML models, deploying solutions on AWS, and mentoring teams to deliver measurable business value through end-to-end analytics.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
Senior Systems Engineer II at May Mobility in Ann Arbor designs and validates autonomous vehicle capabilities, defining system requirements, building simulation test suites, and analyzing real-world data to improve AV safety and performance.
The Principal Data Platform Architect advises enterprises on designing Snowflake’s Cloud Data Platform, bridging technical and business needs. They lead sales cycles, deliver demos, and collaborate with customers to architect scalable data solutions using Snowflake’s tools and multi-cloud technologies.
Обязанности: Тебе предстоит развивать внутреннюю систему для автоматического анализа текстовых документов с применением больших языковых моделей (LLM): - Разрабатывать и внедрять различные сценарии анализа текстов…
Senior Full-Stack Engineer working on back-end (Python, FastAPI/Flask, Pandas/NumPy) and front-end (TypeScript, React) in cloud environments (AWS/Azure/GCP), with a focus on AI-assisted development and production reliability.
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
Designs and implements big data architectures for enterprise customers using Databricks' platform, APIs, and open-source tools like Spark and MLflow, while collaborating with sales and engineering teams.
Solutions Architect at Databricks designs and implements data and AI solutions for customers using the Databricks platform, Apache Spark, and cloud technologies.
Senior Data Scientist builds ML models to predict and reduce customer churn for a meal-delivery marketplace, using Python, SQL, and MLOps to power personalized retention campaigns.
Build and maintain backend services and cloud infrastructure for quantum computing tooling, collaborating with hardware researchers to translate their needs into scalable software solutions.
Build AI/ML models and data pipelines for a microfluidic blood-analysis device, turning raw sensor data into clinical diagnostics and deployable prototypes.
Build scalable data pipelines and ETL workflows in Python and Spark, then deliver insights via dashboards in Power BI or Looker for a healthcare-focused product team.
Builds scalable data pipelines in Python and Spark to transform healthcare data into dashboards and reports for business insights.
Builds and maintains scalable Python modules for a fintech platform, integrating Kafka, databases, and CI/CD pipelines while supporting trading systems.
Build and optimize data pipelines for a fast-growing online retailer, transforming raw data into clean, reliable datasets using SQL, dbt, and Python in Google Cloud.
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