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Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
（日本語が下部に続きます） About AIRoA The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the…
Build and maintain scalable ETL/ELT pipelines, cloud data warehouses (Snowflake/BigQuery), and orchestration workflows (Airflow) to deliver reliable, analytics-ready data for business intelligence and machine learning.
Build and maintain Gropyus’s data platform, designing ingestion pipelines, storage layers, and transformation workflows to support construction, logistics, and sustainability analytics.
Build and own the data platform for a proptech startup: design a semantic layer, govern metrics, and enable self-serve analytics so Finance, Growth and Ops can trust their KPIs and AI agents can query safely.
Design and maintain cloud data pipelines and datasets to track cloud costs, usage, and performance for engineering and finance teams using AWS, Snowflake, Python, and SQL.
Build and deploy ML systems that power healthcare workflows: speech-to-text, LLM note-taking, and chat-based clinical assistants in a cloud-native stack.
Develops AI-driven geospatial models to analyze satellite imagery for vegetation risk assessment in energy grids, improving wildfire prevention and outage reduction using Python, PyTorch, and geospatial libraries like GDAL and GeoPandas.
Lead a team to build and maintain Samsara’s petabyte-scale data platform, driving AI transformation and scalable infrastructure for IoT-driven operations across industries like agriculture, construction, and transportation.
Build and own Minerva’s consumer-data products, transforming raw signals into trusted attributes and scalable pipelines that power AI agents, APIs, and enterprise marketing campaigns.
Builds production-grade software applications integrating data pipelines and ML models for internal decision-support tools and operational dashboards, collaborating with data/ML engineers to create scalable, user-friendly solutions.
Lead the architecture and scaling of Foodsmart’s data platform, owning pipelines, dbt, and warehouse infrastructure to deliver reliable, HIPAA-compliant insights for analytics, BI, and AI tools across 2.2M members.
Why You’ll Love This Role We're looking for a Staff Data Engineer to serve as a technical leader on Cribl's Data Engineering team. You will be someone who can set direction for the systems that power analytics,…
Build and maintain data models and pipelines using SQL, dbt, and cloud tools to transform raw data into analytics-ready datasets for business intelligence and reporting.
Build and scale Patreon’s data pipelines and streaming platforms (Kafka, Spark, Airflow) to power real-time features, analytics, and ML systems for creators and fans.
WHO WE ARE 🌍 Creating content that resonates is great — turning that attention into growth is even better. That's what Manychat does. Our AI-powered automations help creators and brands engage with audiences…
Lead a team building large-scale identity resolution systems for streaming TV ads, using clustering and entity resolution to power targeting and measurement at US scale.
Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
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