Descripción de la oferta
About the company Biorce 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. Our 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. With 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. About the role We're looking for an experienced AI Team Lead to join our innovative team and drive the development of cutting‑edge applications leveraging Large Language Models (LLMs). The ideal candidate will have a strong background in Python development, machine learning and a proven track record of deploying robust, scalable AI solutions. Key Responsibilities: Design, develop, and deploy production‑ready systems that integrate and utilize state‑of‑the‑art LLMs (e.G., GPT, Llama, specialized models). Implement and optimize data pipelines for model training, fine‑tuning, and inference, ensuring high performance and data quality. Develop robust, scalable and maintainable Python codebases, APIs, and microservices to support LLM‑powered applications. Collaborate with product managers and cross‑functional teams to translate business requirements into technical specifications and viable AI solutions. Conduct experimentation, evaluation, and iteration on model/algorithm performance, efficiency and cost‑effectiveness. Stay current with the latest advancements in LLMs, AI/ML methodologies, and relevant tooling (e.G., Lang Chain, Hugging Face, vector databases). Ensure responsible AI practices, including model fairness, transparency and security, are integrated into all development phases. Required Qualifications: 5+ years of professional experience in machine learning, AI engineering or a related field. Including 2+ years in a formal management position. Experience fine‑tuning LLMs for domain adaption. Hands‑on experience building algorithms leveraging Large Language Models (LLMs). Know‑how on process of experimentations for model/algorithm improvements. Expertise in Python and its relevant data science/ML libraries. Strong understanding of natural language processing (NLP) fundamentals and machine learning algorithms. Experience with MLOps principles and tools for managing the end‑to‑end machine learning lifecycle. Bachelor's or Master's degree in Computer Science, Engineering, Statistics or a related quantitative field. Familiarity with frameworks like Lang Chain or Llama Index for building LLM applications and retrieval‑augmented generation (RAG) systems. Nice‑to‑haves: Experience with vector databases (e.G., Pinecone, Milvus, Chroma) and embedding models. Contributions to open‑source projects or a strong portfolio demonstrating relevant AI/LLM work. Why Join Us? A dynamic work environment with an international team, where collaboration and diversity thrive. Work alongside top talent, united by a shared purpose and committed to making a real impact. Comprehensive private health coverage to ensure your physical and mental well‑being. Hybrid work model offering flexibility to balance your professional and personal life. Company events to celebrate achievements and enjoy time together. Get equipped with a Mac Book to enhance your productivity and work experience. Our office is pet‑friendly! You’ll likely be greeted by a few wagging tails upon arrival. #J-18808-Ljbffr
