Descripción de la oferta
pbOur client /bis a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. They are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors. /ppbr/p pbJob Overview /b /ppWe are seeking a skilled and experienced bLLM Engineer (Senior and Mid level) /bwith a strong background in Large Language Models to join their team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of their language models, as well as working closely with cross-functional teams to integrate these models into their products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies. /ppbAs a LLM Engineer, you will. /b /ppbr/p pbPerks and Benefits: /b /pulliIndefinite contract. /liliEqual pay guaranteed. /liliVariable performance bonus. /liliSigning bonus. /liliThey offer work visa sponsorship (If applicable) and relocation package (if applicable). /liliPrivate health insurance. /liliEligibility for educational budget according to internal policy. /liliHybrid opportunity. /liliFlexible working hours. /liliLanguage classes and discounted lunch options. /liliA high-performance, collaborative environment, operating at pace on cutting-edge technologies. /liliCareer plan. Opportunity to learn and teach. /li /ulpbr/ppbr/ppbRequired Qualifications: /b /pullibMaster's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields. /b /lilibMid: 2+ /b years of hands-on experience with designing, training or fine-tuning transformer models. /lilibSenior: 5+ /b years of hands-on experience with designing, training or fine-tuning transformer and other deep learning models (e.g. computer vision). /lilib2+ year of hands-on experience using LLM and Transformer models (from scratch), with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets... /b /liliSolid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. /liliExcellent problem-solving, debugging, performance analysis, test design, and documentation skills. /liliStrong understanding with the fundamentals of GPU architectures. /liliExcellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.). /liliExperience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment. /liliExcellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively. /liliPrevious research publications in deep learning is a plus. /liliFluent in English. /li /ulpbr/ppbr/ppbPreferred Qualifications: /b /pulliProven experience delivering successful AI-driven projects in an industrial environment. /liliSpanish Language skills /liliExperience running large-scale workloads in high-performance computing (HPC) clusters. /liliExperience in handling large datasets and ensuring data quality. /liliExperience with inference and deployment environments (TensorRT, vLLM, etc.). /liliExperience in accuracy evaluation of LLMs (OpenLLM Leaderboard). /liliExperience building and evaluating RAG systems. /liliExperience in building non-LLM deep learning applications, e.g., computer vision, audio or signal processing. /liliFamiliarity with AI ethics and responsible AI practices. /liliExperience in DevOps/MLOps practices in deep learning product development. /li /ul
