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The Senior Machine Learning Engineer will architect, build, and deploy high-performance ML systems, manage data pipelines, and implement MLOps practices, ensuring low-latency operations and model performance monitoring.

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

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.

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.

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

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.

Seeking experienced Data Engineers to design and optimize real-time and batch data pipelines, leveraging cloud technologies for scalable data solutions.

The role involves creating analytical workflows, maintaining data integrity, and translating business requirements into data solutions with Power BI and other tools.

The role involves designing and maintaining analytical workflows using the Microsoft BI Stack, leading data lifecycle processes, and collaborating with teams to translate requirements into technical specifications.