Fusemachines Tech Stack

Enterprise AI products and ML operations for data-intensive workloads

Software Development New York, New York 201–500 employees Founded 2013 Privately Held

Fusemachines builds enterprise AI products and ML solutions on a heavy Azure + Databricks stack, with secondary AWS presence. The company is tackling real-time feature pipelines, low-latency inference, and business process automation—pain points that align with a data-forward org structure (21 roles in data, 16 in engineering). Senior hiring dominance and global talent sourcing across 8 countries suggest execution of large-scale ML infrastructure projects rather than early-stage exploration.

Tech Stack 100 technologies

Core StackKubernetes Azure DevOps Databricks Azure Functions PySpark Azure Data Factory Terraform Python Power BI GraphQL dbt Cloud Snowflake Redshift AWS Scala Jira Confluence Power Automate SQL Server Azure Microsoft Fabric Azure Data Lake Azure Stream Analytics Azure SQL Database Azure Event Hubs Azure Resource Manager Random Forest XGBoost AWS CodeBuild Prodigy+70 more

What Fusemachines Is Building

◆Challenges

Transforming cloud data into insights
Scaling feature pipelines for massive data
Improving processes
Business process automation
Low-latency inference
Real-time feature computation
High-throughput requirements
Processing massive volumes of data
Reduce costs
Increase revenue

▲Active Projects

Automated business processes
Agentic ai systems
Feature pipelines
Real-time inference apis
Rag pipeline implementation
Intuitive analytical workflows
Feature pipeline scaling
End-to-end machine learning pipelines
Power bi dashboards and apps
Data lifecycle management

Hiring Activity

Steady40 roles · 8 in 30d

Department

Data

Engineering

Seniority

Senior

Lead

Mid

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About Fusemachines

Fusemachines is an AI software company founded in 2013, headquartered in New York, with 201–500 employees. The company delivers enterprise AI products and consulting services focused on ML transformation, feature engineering, and real-time inference pipelines. Core technical surface includes data pipelines (Azure Data Factory, Databricks, PySpark), ML infrastructure (feature stores, RAG systems, agentic AI), and analytics workflows (Power BI, dbt Cloud). The organization actively hires across data and engineering roles in the US, Canada, Mexico, Brazil, Colombia, India, Pakistan, and Nepal.

HeadquartersNew York, New York

Company Size201–500 employees

Founded2013

Hiring MarketsNepal, Brazil, Canada, Mexico, India, Colombia, Pakistan, United States

Frequently Asked Questions

What tech stack does Fusemachines use?

Primary: Azure (Databricks, Data Factory, Fabric, Functions), Python, dbt Cloud, Snowflake, Power BI. Secondary: AWS (CodeBuild, Redshift), Kubernetes, PySpark, Scala, GraphQL, Jira, Terraform.

Where does Fusemachines hire internationally?

Fusemachines recruits across Nepal, Brazil, Canada, Mexico, India, Colombia, Pakistan, and the United States.

How this profile is built

Fusemachines's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.