UpHill

Lead AI Engineer

Job Description

Posted on: 
October 16, 2024

UpHill is the place where health professionals can find best practices to decide and train.
We're backed and trusted by top-tier investors and leading clients (e.g. Luz Saúde, Caixa Capital, Bynd, Maze, Brighteye Ventures, Novartis, Pfizer, etc).


We are seeking a talented Lead AI Engineer to join our dynamic team and contribute to the development of a groundbreaking decision support SaaS platform. As a Lead AI Engineer, you will play a pivotal role in designing, implementing, and productizing AI solutions that will drive innovation in healthcare.


Requirements:


  • M.Sc. with strong Computer Science and Statistical Learning components (e.g. Computer Science, Electrical Engineering, Physics, Aerospace Engineering, etc). Ph.D. is valued.
  • Minimum of 4 years of work experience in applied Machine Learning roles.
  • Extensive experience with Generative AI and Large Language Models (LLMs).
  • Proven track record of deploying Large Language Models in production environments.
  • Proficiency in Python or other commonly used languages in AI/ML development.
  • Hands-on experience with open-source frameworks like LangChain.
  • Experience leveraging a variety of services to act as data sources
  • Proactivity and enjoyment in starting projects from scratch.
  • Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes.
  • Able to create end-to-end working prototypes - from planning, architecture, data engineering, analysis, and algorithm implementation.
  • Commitment to continuous learning and staying updated with advancements in the field of AI.
  • Flexibility and adaptability to thrive in a dynamic environment where projects and requirements may change frequently.
  • Experience with or knowledge of Agile Software Development methodologies.
  • Devotion to the project and ability to deliver under tight deadlines.
  • Excellent English proficiency.



Responsibilities

  • Lead projects to apply the latest AI technologies, enhancing the functionality of our applications.
  • Design, implement, and productize AI pipelines with a focus on seamless data handling, preprocessing, design engineering, deployment, and monitoring.
  • Architect end-to-end LLMOps solutions using cloud technologies, automation, and orchestration tools, ensuring scalability, reproducibility, and reliability of AI/ML solutions.
  • Develop Generative AI solutions and prompt management frameworks using cutting-edge methods to generate diverse and high-quality insights.
  • Collaborate cross-functionally with different teams to identify opportunities for improvement and innovation.
  • Work closely with the Engineering and Product team to understand business requirements, translate them into technical solutions, and enhance our products and data infrastructure.
  • Optimize AI algorithms and models for processing structured and unstructured data.
  • Stay updated with emerging trends in AI and technologies, applying new techniques and best practices to ongoing projects.
  • Ensure the quality and reliability of AI solutions through rigorous testing and validation.
  • Document AI models, algorithms, and systems for internal and external stakeholders.



Perks

  • Health & dental insurance.
  • Birthday day-off
  • Gym
  • Flexible schedule
  • Open vacation policy
  • Budget for training
  • Additional Team holidays - Get together with the entire company
  • Macbook and budget for peripherals.
  • Office freebies.
  • No Corporate BS.