Jobs at Ascent.io

You will develop data pipelines, integrate APIs, prepare data for GenAI processing, and ensure code quality and scalability.

As a Senior Data Scientist, you will enhance AI solutions by developing evaluation datasets and pipelines, tuning retrieval performance, and collaborating with teams to improve model quality and user experience.

The Senior Talent Acquisition Specialist will lead recruitment processes for technical roles, focusing on building talent pipelines and providing strategic insights to hiring managers.

Design and develop cloud-native applications and integration services in Azure, using Kubernetes and Python while implementing CI/CD practices and troubleshooting production issues.

The role involves designing, building, and maintaining Azure-based integration solutions, utilizing Kubernetes and workflow orchestration tools while collaborating with teams in a DevOps environment.

The role involves designing and developing scalable data pipelines using Azure Databricks, building transformations with PySpark and SQL, and working with graph databases to support analytics and data modelling in a regulated environment.

As a Data Scientist in Pre-Sales, you will implement data-driven solutions, support sales with analytics expertise, and collaborate with technical teams on AI and machine learning projects.

The role involves supporting pharmaceutical clients by delivering analytics solutions, analyzing clinical datasets, and collaborating with diverse stakeholders.

Design and optimize ML/AI pipelines using Azure Databricks, implement CI/CD pipelines, and ensure compliance in AI solutions.

The Senior BI & Data Engineer will build scalable Power BI dashboards and work with Azure Databricks to develop curated data layers, ensuring data quality and optimizing performance for reporting.

Drive growth of AI, Data, and Digital services in the DACH region, manage enterprise sales cycles, and build client relationships in financial services.

Design and develop data models, ETL processes, and cloud-based data solutions using Azure and various big data technologies. Support report generation and data analysis.

The Senior Applied AI Engineer will design and build infrastructure for data products, focusing on data pipelines, ML solutions, and collaborating with delivery operations.

The Senior Software Engineer will provide technical insights, mentor team members, participate in code reviews, and manage technical risks while working on diverse projects across various industries.

Lead technical initiatives within Kallidus, building and optimizing scalable solutions, mentoring junior engineers, and collaborating across teams.

Lead and manage the DACH business application landscape, ensuring alignment with IT strategy and overseeing key systems while ensuring compliance and driving system improvements.

The Senior Data & AI Solution Architect will design scalable solutions, engage with clients, oversee implementations, and innovate in the Data & AI field.

Lead the design and maintenance of Azure cloud infrastructure, implement CI/CD pipelines, and ensure operational best practices. Collaborate with teams on cloud governance and continuous improvement of DevOps processes.

As a Data Scientist, implement data-driven solutions and collaborate in developing AI, machine learning models, and proof of concepts for diverse clients.

The role involves designing and managing data solutions using Databricks and Azure, automating processes, optimizing pipelines, and collaborating with teams to deliver effective data workflows.