Weβre looking for an entry-level AI & Automation Engineer whoβs excited to leverage AI tools and automation to enhance team efficiency, streamline operations, and drive innovation. Youβll work across engineering and business functions to prototype, implement, and maintain smart internal tools and workflows.
Job listings
Take your career to the next level with a critical position in an innovative startup that is disrupting the compliance industry. This position will play a key role in designing our core application and related integrations. If youβre ready to work on the most cutting-edge design challenges, we are excited to have you on our team.
Design, build, evaluate, and ship ML solutions for safety in Spotifyβs personalization products. Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.
As a member of the Mambu Data Insights team, you will play a key role in building and scaling our data platform. You will be responsible for designing, developing, and maintaining robust and scalable data pipelines and infrastructure. This includes building data processing solutions to handle large volumes of structured and unstructured data.
As a Principal Software Engineer on the AI knowledge team, you'll build and maintain a multi-million node knowledge graph to power Dataminr's real-time event detection platform; you will shape the future of Dataminr's knowledge platform, lead multi-team initiatives, implement industry best practices, and develop pipelines and services for building and maintaining our massive-scale knowledge graph.
As a core engineer, you'll step into a greenfield opportunity to solve interesting problems at the intersection of large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure. You'll work with NLP, firmographic data, and entity resolution, collaborating with a global team of full-stack, data, ML, and DevOps engineers.
As a Machine Learning Engineer, you will deliver machine learning-driven products. You will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications such as natural language understanding, web search and ranking, recommendation, personalization, and dialog/conversation management. You will design, implement, and deploy machine learning algorithms and manage machine learning data pipelines.
ERP development (Odoo version 18); Integration with external systems; Implementation of technical solutions according to business needs.
The position involves simultaneous participation in computer vision projects, proposing vision research, evaluating new projects, contributing to service offers, and disseminating advances. Responsibilities include maintaining knowledge, attending seminars, and ensuring in-depth scientific watch activities in computer vision.
We are hiring an Engineering Manager as we expand the MAAS team. Our mission with MAAS ("Metal as a Service") is to provide the best solution for building and running private bare-metal infrastructure, putting a cloud-style on-demand API in front of physical server provisioning, network configuration, and storage. We're hiring engineering managers with experience in high-quality software development and high-performance team leadership.