Data Scientist

1 semana atrás

Lisboa, Lisboa, Portugal Buscojobs Portugal Tempo inteiro

Veeva Systems is a pioneering force in the life sciences industry, dedicated to helping companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we have achieved $2 billion in revenue and are poised for continued growth.

At Veeva, our values guide everything we do: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we're a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.

We offer a flexible work environment as a Work Anywhere company, allowing you to thrive in your ideal setting. Our AI team supports the entire suite of link data products, with agility and quality being our core operating principles in developing cutting-edge ML models.

The role primarily involves developing LLM-based agents that specialize in searching and browsing the web to extract detailed information about Key Opinion Leaders (KOLs) in the healthcare sector. You will create an end-to-end human-in-the-loop pipeline to sift through unstructured medical documents, ranging from academic articles to clinical guidelines and meeting notes.

These agents will perform semantic searches and reasoning to provide precise answers to predefined queries concerning KOL-related data across various languages and disciplines. Leveraging AWS infrastructure, you will build, scale, and optimize agents and pipelines for information extraction and question-answering, ensuring they are production-ready and robust.

Your focus will be on building highly scalable, efficient systems while collaborating with Data Engineers for seamless data pipelines and Data Scientists for model refinement. You will take ownership of the entire deployment process, ensuring the models are integrated into production environments with minimal latency and high performance.

We invite you to work remotely from anywhere within the UK, Spain, or Portugal, provided you reside in one of these countries and hold legal work authorization without needing employer support. If you plan to move to this country or live nearby, we may still consider your application if you're a superb fit for the role.

Key Responsibilities:

  • Develop and manage ML infrastructures and CI/CD pipelines to support multiple data products
  • Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
  • Provide engineering mentorship and guidance to data scientists
  • Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval
  • Collaborate with data scientists, data engineers, and product/operation teams

Requirements:

  • Agile mindset
  • Professional in ML operationalization, including CI/CD pipelines and workflow/model management, stacks such as Airflow and MLfLow
  • Professional in distributed computing platforms (Ray and Spark) as well as Kubernetes for inference
  • Solid understanding and experience in deep learning frameworks (e.g., PyTorch, JAX,...)
  • Hands-on experience in in-house training and inference of LLMs
  • 3+ years of experience as a Machine Learning Engineer or relevant jobs
  • 2+ years of experience in cloud development, ideally in AWS
  • Strong analytical skills and data curiosity
  • Strong collaboration skills as well as verbal and written communication skills
  • Used to start-up environments
  • Social competence and a team player
  • High energy and ambitious

Benefits:

  • Work anywhere
  • Personal development budget (equal to 2% of your salary and in addition to that)
  • Veeva charitable giving program
  • Fitness reimbursement
  • Life insurance + pension fund

Estimated salary range for this position in Portugal is approximately €45,000 - €65,000 per year, depending on qualifications and experience. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

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