Information Retrieval Algorithm Engineer

h3Information Retrieval Algorithm Engineer /h3pOnsite - Contract - Full-time /ppAre you passionate about cutting-edge AI and machine learning? We are looking for a talented strongInformation Retrieval Algorithm Engineer /strong to join our team and revolutionize the way users interact with generative models. This is an exciting opportunity to work at the forefront of technology, building and optimizing models that improve information retrieval and enhance user experiences in multimodal scenarios. /ppstrongWhat You'll Do: /strong /pulliDesign and develop advanced information retrieval models, creating robust Retrieval-Augmented Generation (RAG) systems. /liliEnhance reasoning capabilities of large language models (LLMs) and minimize inaccuracies or hallucinations. /liliConduct state-of-the-art research in NLP, machine learning, and information retrieval. /liliDevelop scalable algorithms to improve performance and efficiency. /liliCollaborate with cross-functional teams to integrate cutting-edge RAG solutions into real-world products. /liliWork with large-scale datasets for data collection, pre-processing, and performance benchmarking. /liliStay ahead of the curve by keeping up-to-date with the latest advancements in AI and related fields. /li /ulpstrongWhat You'll Bring: /strong /pulliMaster’s or Ph.D. in Computer Science, Electrical Engineering, or related fields with expertise in NLP, ML, or IR. /liliProficiency in Python and experience with ML frameworks like PyTorch. /liliSolid understanding of advanced deep learning architectures, including transformers, BERT, GPT, and similar technologies. /liliA track record of research excellence, demonstrated by publications in top conferences or journals. /liliStrong analytical and problem-solving skills, with attention to detail. /liliAbility to thrive in both independent and team-oriented environments. /li /ulpstrongPreferred Skills: /strong /pulliExperience with automatic speech recognition (ASR). /liliKnowledge of retrieval-based models such as vector space models, BM25, or neural retrieval methods. /liliFamiliarity with knowledge bases, information extraction, and question-answering systems. /liliBackground in software development and engineering best practices. /li /ulpstrongWhy Join Us? /strong /ppThis role offers a chance to work on transformative projects that leverage large-scale datasets and cutting-edge AI techniques to solve real-world challenges. You'll collaborate with an innovative team of researchers and engineers, pushing the boundaries of what's possible in AI. /ppApply today and become part of a team shaping the future of information retrieval and generative models! /ph3Seniority level /h3pMid-Senior level /ph3Employment type /h3pContract /ph3Job function /h3pEngineering, Information Technology, and Project Management /ph3Industries /h3pSoftware Development, Telecommunications, and Technology, Information and Media /p #J-18808-Ljbffr