Ml Deployment Engineer, Innovation Line Driverless

**Mission Summary** In this role, you'll initially focus on re-architecting and enhancing our dynamic provisioning platform for remote ML experiments, significantly improving the agility and efficiency of our ML development lifecycle. As we evolve, you'll contribute to broader ML infrastructure enhancements, ensuring our training ecosystem remains...

Mission SummaryWe are looking for passionate software engineers to join our ML Infrastructure team. Our team is at the forefront of building and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving...

**Mission Summary** Our team builds the foundational infrastructure that empowers Machine Learning Engineers to develop the next generation of self-driving technology. We design and operate the high-performance, large-scale systems that process petabytes of vehicle data, run massive simulations, and train complex models. This is a software engineering role...

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Client data scientists. **Technical Skills** - Proficiency in Python used both for ML and automation tasks - Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have. - Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI,...

Mission SummaryWe are looking for passionate software engineers to join our ML Infrastructure team. Our team is at the forefront of building and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving...

Mission SummaryOur team builds the foundational infrastructure that empowers Machine Learning Engineers to develop the next generation of self-driving technology. We design and operate the high-performance, large-scale systems that process petabytes of vehicle data, run massive simulations, and train complex models. This is a software engineering role...

Design and implement scalable ML pipelines for Generative and Agentic AI applications. Integrate AI models into production environments using containerized platforms such as OpenShift and Kubernetes. Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions. Develop and maintain automation...

**ML Ops Engineer**: Career Level 3 **Location** Singapore, Singapore Artificial intelligence (AI) and advanced analytics are transforming the insurance industry across the value chain. Munich Re is at the forefront of this trend, having made a significant investment in start-of-the-art analytics infrastructure and software, central and regional analytics...

On our **Perception team**, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our...

Epergne Solutions is looking for AI- ML Engineer **Job Role**: Responsible for ensuring that ML models and Data pipelines are deployed successfully into production - Develop and maintain backend services for Data and ML - Optimize and manage databases - Automate model training, testing and deployment using CI/CD - Understand and implement metrics to verify...