Jobs at Fusemachines

Seeking a Senior Data Engineer to design and implement high-performance data solutions and pipelines, ensuring scalability and reliability in cloud environments.

The Applied AI Engineer will design, develop, and deploy AI solutions, integrating LLMs into business workflows, and ensuring reliability and maintainability of systems.

As an Applied AI Engineer, you will design, develop, and deploy AI automation solutions, integrating LLMs into business workflows, and collaborating with stakeholders. Responsibilities include building reliable systems, supporting clients, and enhancing features.

The Applied AI Engineer will develop and deploy AI automation solutions, integrate LLMs, and collaborate with clients to enhance workflows and systems.

As an Applied AI Engineer, you will design, develop, and deploy AI and automation solutions, collaborating with various stakeholders. Responsibilities include building workflows, integrating LLMs, improving solutions, and producing documentation.

As an Applied AI Engineer, deliver AI and automation solutions from requirements to deployment, collaborating with stakeholders, designing workflows, and improving deployed systems.

As an Applied AI Engineer (Automation), you'll design, develop, and deploy AI and automation solutions, integrating LLMs into workflows and ensuring scalability and client satisfaction.

The Machine Learning Engineer role involves owning ML projects end-to-end, designing production ML systems, and leveraging AI tools to automate decision-making. Responsibilities include building robust pipelines, communicating with stakeholders, and mentoring team members, especially for Senior candidates.

Lead data analysis, BI, and visualization efforts: collect, clean, model, analyze, and visualize large datasets. Build dashboards and reports, apply statistical methods and data mining, ensure data quality/governance, collaborate cross-functionally, and mentor junior analysts while implementing best practices for analytics and reporting.

Lead data analytics work: collect, clean, model, analyze, and visualize large datasets; build dashboards and reports (SnowSight, Power BI); design data models and implement Snowflake/dbt pipelines; ensure data governance and quality; mentor junior analysts and partner with cross-functional teams to deliver insights.

The Lead Data Scientist will design and implement data-driven solutions, lead a team of data scientists, and collaborate across functions, while managing machine learning pipelines and mentoring junior staff.

The Applied AI Engineer will design and deploy AI automation solutions, integrate LLMs into workflows, ensure production readiness, and maintain ongoing client support.

As a Lead Data Scientist, you will lead a team to develop AI solutions, collaborate with cross-functional teams, design predictive models, and ensure data quality in machine learning pipelines.

Design, build, test, and maintain large-scale data architectures on Azure and Databricks. Implement ETL/ELT, data lakes/warehouses, Spark jobs, orchestration, data governance, security, and migrations (Synapse to Data Lake). Mentor junior engineers, collaborate with cross-functional teams, automate CI/CD and IaC, ensure data quality, performance, and cost optimization, and document solutions.

Lead collection, cleaning, modeling, analysis, and visualization of large datasets to deliver BI and advanced-analytics insights. Build and maintain Snowflake data pipelines, dbt transformations, dashboards (SnowSight/Power BI), ensure data governance and quality, mentor junior analysts, and collaborate with cross-functional teams to support data-driven decisions.

The role involves building and deploying machine learning solutions to achieve business impact, from model development to productionization, while collaborating with stakeholders.

Own and optimize HubSpot to align Sales, Marketing, and RevOps: improve CRM architecture, build automations and lead scoring, enforce data governance, create dashboards and reporting, streamline handoffs, train teams, and recommend scalable GTM improvements.

Own and optimize HubSpot to align Sales, Marketing, and RevOps. Improve CRM architecture, workflows, lead routing/scoring, data quality, and reporting. Automate operational tasks, support campaign operations, and train teams to increase pipeline visibility, forecasting accuracy, and GTM efficiency.

Responsible for transforming Cloud Data into strategic insights, creating analytical workflows, managing the data lifecycle, and collaborating with teams for reporting efficacy.

Fusemachines is seeking experienced Senior Data Engineers to design and optimize data systems and develop cloud-native data architectures using modern technologies.