Machine Learning Engineer
What you'll do:
Develop and conduct research into multi-agent AI technology and deliver scalable, cloud-native architecture to produce and optimize core algorithms and services.
Research academic papers and experiment with different conversational architectures for Large Language Models.
Use Retrieval-Augmented Generation (RAG) and GraphRAG to enable scalable search infrastructures within agentic systems.
Write design documents that balance between the use of deterministic code and AI.
Refine and implement the architecture using Python over the LangChain framework.
Optimize custom transformer- based language models for latency and throughput, using NVIDIA tools CUDA and TensorRT.
-
Integrate Machine Learning solutions into our platform.
Requirements:
Master’s degree in Computer Science
3 years’ experience, including use of RAG, and NVIDIA TensorRT and CUDA tools
About Seven AI:
We are seeking professionals of all levels who are eager to make a substantial impact and excel in a high-growth, dynamic environment. As AI is advancing at a pace never seen before, you'll join us at a pivotal stage, where your expertise can shape the future of cybersecurity. You'll have the opportunity to work on the bleeding edge of technology and drive true innovations, all while collaborating closely with industry veterans who are dedicated to defend the market from the new wave of AI-driven attacks. Our culture is centered around respect, collaboration and proactiveness, and a shared commitment to delivering exceptional value to our customers. If you’re passionate about building something extraordinary and thrive in an environment where your contributions truly matter, we’d love to connect with you.
