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.
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.
As a GenAI Optimization Engineer, you will design, scope, implement, and tune performance features for Generative AI use cases in the MAX framework. You will also plan and lead cross-functional projects spanning multiple teams and domains. You will also contribute to the MAX tech stack across multiple languages, including Mojo, Python, and C++.
The Engineering Manager is responsible for managing the engineers that oversee day-to-day Managed Service of customer environments, including customer service management, managed services operations and consistent product improvement engineering. Collaboration with customers, product engineering, and operations is critical.
Join Miratech in revolutionizing customer experiences alongside our client, a global leader in cloud contact center software, as a Full Stack Engineer. You will design, develop, and maintain scalable backend and front-end solutions for the Studio platform, enhance the drag-and-drop flow builder to integrate voice, SMS, and chatbot channels, and explore and integrate cutting-edge AI technologies. You'll work with PHP/Laravel, Python, and Vue.js.
We are the creators of Pyroscope, an open-source continuous profiling database that offers rapid, scalable, highly reliable, and efficient storage and querying capabilities, aiding in gaining a comprehensive insight into resource utilization within applications. This position focuses on implementing distributed systems to effectively manage profile ingestion and queries.
Reprogram how humans and intelligent systems grow together in CloudWalk’s experimental playground where People, AI, and Data collide. Design and prototype AI copilots, LLM-powered flows, and smart systems that boost how we learn, hire, evolve, and collaborate. Dive into People data and make it speak through dashboards, bots, agents, and stories. Build experimental tools that rethink how we run people ops. Prototype fast and iterate.