Top AI & Machine Learning Jobs

The Principal AI Compiler Engineer designs hardware for AI, ensuring models translate effectively to silicon and perform optimally in 5G applications.

The Principal AI Model Architect's role includes optimizing model architectures for new hardware, translating AI algorithms into hardware specifications, and projecting performance for silicon design.

As an AI Researcher, you will research and develop AI/ML concepts for telecom networks, design algorithms, collaborate with experts, and engage with industry partners.

The Senior AI Engineer will align AI solutions with business goals, support PoCs execution, collaborate on AI applications, and evaluate technologies in AI advancement.

The Data Engineer will develop GenAI solutions for Telecom OSS/BSS platforms, focusing on ML systems, APIs, and scalable services. Responsibilities include end-to-end MLOps pipelines and working with cloud-native ML deployments.

Join Ericsson as an AI/Data Engineering co-op to design, build, and optimize large-scale data and model operation pipelines, support cross-functional teams, and implement scalable ETL, stream processing, and data lifecycle tooling.

Design end-to-end solutions with a focus on AI and Generative AI, providing technical leadership, guiding architecture, and collaborating with stakeholders.

The role involves designing scalable automation architectures and driving efficiencies through advanced analytics and AI solutions, managing lifecycle and deployment of automation processes.

Design and implement scalable microservices-based backend systems for a UC platform, integrate LLM/GenAI (RAG) chatbots, build AI data and ELT pipelines with vector DBs, manage Kubernetes/Docker infrastructure and observability, and optimize systems for high-volume traffic.

The role involves designing and developing AI solutions, optimizing AI models, analyzing data for insights, and collaborating with teams to integrate AI into products.