Jobs at Ascent.io

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.

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

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

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.

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 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.

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

Build and operate a RAG backend platform on AKS integrating Azure AI Search, LLM services, and a FastAPI backend. Design scalable APIs, implement hybrid (semantic+keyword) retrieval, integrate LLMs for grounded responses with citations, enforce Entra ID auth and group-based authorization, deploy via Docker/Kubernetes, implement observability, and collaborate with data and frontend engineers to monitor index freshness and search performance.

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.

The Senior Data Scientist (Biostatistics) will design R-based statistical models, refine workflows, and support production deployment, ensuring reproducibility and maintainability.

This role involves driving AI, Data, and Digital sales in the financial services sector, focusing on complex enterprise deals and relationship management.

The role involves building a centralized reporting platform using Power BI and Azure Databricks for a reinsurance client, focusing on data models, dashboards, and analytics solutions.

As a Senior Data Engineer, you will build data solutions, mentor team members, collaborate with clients, and support digital transformation efforts.

The Data Scientist will implement data-driven solutions, collaborating with teams to develop AI and machine learning models while preparing data and assisting in workshops across industries.

As an AI Engineer, you will design, build, and deploy AI systems in Python, collaborate with data scientists and engineers, and integrate Azure AI services.

The Senior Platform Engineer will design and optimize a platform using Python, DevOps, and ModelOps, managing application lifecycles and collaborating with teams for high-performance deployments.

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.