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Build and maintain cloud-native geospatial platforms that ingest, process, and serve Earth Observation data using open standards like STAC/OGC APIs and tools such as GDAL, Xarray, and Kubernetes.
Builds and optimizes a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms.
Build and maintain scalable data pipelines, cloud data warehouses, and real-time processing systems using Python, SQL, and cloud platforms to power analytics and business decisions.
Build and maintain the internal AI agent platform that lets Procore teams create, deploy, and evaluate agents for ConTech workflows.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
Why YOU want this position At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. We are the most trusted energy-dedicated SaaS…
Senior ML engineer validates high-stakes financial models (credit, fraud, AML) and AI systems to prevent losses and regulatory violations, using Python, ML frameworks, and cloud tooling.
Senior ML engineer builds and maintains credit underwriting models for fintech products like Cash App Borrow and Afterpay, using Python, PyTorch, and AI tooling to decide loan terms and manage risk at scale.
Senior Data Engineer leading data modeling, pipeline tooling, and dashboarding for risk and compliance teams, using Snowflake, Databricks, Dbt, and more.
Build and deploy generative AI and ML solutions for a global real-estate investment platform, focusing on retrieval-augmented generation, embeddings, and prompt frameworks using Python, LangChain, and Azure AI services.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Senior analytics engineer at a nonprofit using tech and data to strengthen Brazil’s primary healthcare system, modeling sensitive health records into actionable indicators for municipal managers.
Build and maintain ETL pipelines, Azure data assets, and Power BI semantic models to power analytics and decision-making for a rail and structural division.
Designs and implements cloud-based solutions using Astronomer’s DataOps platform (Apache Airflow) for enterprise clients, bridging technical and business needs to scale data-driven workflows.
Builds and deploys ML models end-to-end—from data pipelines to production inference—designing A/B tests and optimizing models for HR-product metrics.
Build and scale data pipelines, a modern data warehouse, and backend services for a UK fintech lender, primarily using BigQuery, SQL, and cloud-native tools.
Build and maintain high-volume data pipelines, a Redshift warehouse, and a full-stack internal platform for mobile ad-tech, using Python, Java, SQL, and AWS.
Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
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