Descripción de la oferta
ph3About the company /h3 pBiorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes. /p pOur team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting‑edge technology and real‑world clinical needs. /p pWith an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost‑effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity. /p h3About the role /h3 pWe're looking for an experienced bAI Team Lead /b to join our innovative team and drive the development of cutting‑edge applications leveraging bLarge Language Models (LLMs) /b. The ideal candidate will have a strong background in bPython development /b, machine learning and a proven track record of deploying robust, scalable AI solutions. /p pbKey Responsibilities: /b /p ul libDesign, develop, and deploy /b production‑ready systems that integrate and utilize state‑of‑the‑art LLMs (e.g., GPT, Llama, specialized models). /li liImplement and optimize bdata pipelines /b for model training, fine‑tuning, and inference, ensuring high performance and data quality. /li liDevelop robust, scalable and maintainable bPython /b codebases, APIs, and microservices to support LLM‑powered applications. /li liCollaborate with product managers and cross‑functional teams to translate business requirements into technical specifications and viable AI solutions. /li liConduct bexperimentation, evaluation, and iteration /b on model/algorithm performance, efficiency and cost‑effectiveness. /li liStay current with the latest advancements in LLMs, AI/ML methodologies, and relevant tooling (e.g., LangChain, Hugging Face, vector databases). /li liEnsure bresponsible AI practices /b, including model fairness, transparency and security, are integrated into all development phases. /li /ul pbRequired Qualifications: /b /p ul lib5+ years /b of professional experience in machine learning, AI engineering or a related field. bIncluding 2+ years in a formal management position. /b /li libExperience /b fine‑tuning LLMs for domain adaption. /li libHands‑on experience /b building algorithms leveraging Large Language Models (LLMs). /li libKnow‑how /b on process of experimentations for model/algorithm improvements. /li libExpertise in Python /b and its relevant data science/ML libraries. /li liStrong understanding of bnatural language processing (NLP) /b fundamentals and machine learning algorithms. /li liExperience with bMLOps /b principles and tools for managing the end‑to‑end machine learning lifecycle. /li liBachelor's or Master's degree in Computer Science, Engineering, Statistics or a related quantitative field. /li liFamiliarity with frameworks like bLangChain /b or bLlamaIndex /b for building LLM applications and retrieval‑augmented generation (RAG) systems. /li /ul pbNice‑to‑haves: /b /p ul liExperience with bvector databases /b (e.g., Pinecone, Milvus, Chroma) and embedding models. /li liContributions to open‑source projects or a strong portfolio demonstrating relevant AI/LLM work. /li /ul pbWhy Join Us? /b /p ul liA dynamic work environment with an international team, where collaboration and diversity thrive. /li liWork alongside top talent, united by a shared purpose and committed to making a real impact. /li liComprehensive private health coverage to ensure your physical and mental well‑being. /li liHybrid work model offering flexibility to balance your professional and personal life. /li liCompany events to celebrate achievements and enjoy time together. /li liGet equipped with a MacBook to enhance your productivity and work experience. /li liOur office is pet‑friendly! You’ll likely be greeted by a few wagging tails upon arrival. /li /ul /p #J-18808-Ljbffr
