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Job Post Details

Senior AI Engineer
IQVIA
·
3.7
Warszawa, mazowieckie
•
Hybrydowo
Pełny etat

Opis stanowiska

Brak informacji o wynagrodzeniu
Pełny etat
Od Hybrydowo in Warszawa, mazowieckie

Pełny opis stanowiska

Warsaw, Poland | Full time | Hybrid | R1495673
Job available in additional locations


Role Overview
We’re looking for a Senior AI Engineer who is passionate about improving healthcare through cutting-edge technology. In this role, you will contribute hands‑on to the design, development, and deployment of advanced ML and NLP technologies powering Patient Finder. You’ll work on impactful projects such as Generative AI, Named Entity Recognition/Linking (NER/NEL), multilingual NLP, and continuous learning on complex healthcare datasets.
This is a unique opportunity to define the future of AI in healthcare—focusing on deep technical contributions and end‑to‑end ownership of ML solutions.
Key Responsibilities
  • Design, build, and maintain robust, scalable ML and NLP solutions for production environments.
  • Contribute directly to the codebase, designing and implementing robust, scalable AI solutions for production environments.
  • Collaborate with other development teams to ensure seamless integration of AI components with our search engine and data warehouse.
  • Apply best practices in software engineering, testing, observability, and CI/CD for ML systems.
  • Support the internationalization of NLP components across multiple languages.
  • Work closely with the Product Owner and engineering teams to translate requirements into high‑quality ML deliverables.
  • Research and apply state-of-the-art NLP and ML methodologies.
  • Share expertise with peers, contribute to knowledge‑sharing sessions, and mentor junior engineers informally
Requirements
  • 6 years of industry experience in AI/NLP, with a strong track record of hands-on software engineering and delivering production-grade solutions.
  • Proficiency in Python for ML/NLP tasks; other languages (e.g., Go, Rust, Java) are a plus.
  • Strong software engineering fundamentals and experience integrating ML systems into production environments.
  • Expertise in supervised and unsupervised learning, deep learning, and NLP.
  • Ability to communicate technical concepts clearly to cross-functional teams.
  • Experience with production-grade ML/NLP deployments.
  • Strategic thinking around data science product planning under uncertainty.
  • Holistic understanding of ML pipelines within larger systems.
  • Strong problem-solving and critical thinking skills.
  • Ability to read and implement ideas from scientific papers.
  • Excellent English communication skills (written and verbal).
Nice to Have
  • Experience in healthcare, life sciences, clinical trials, or pharmaceutical data.
  • Based in the Netherlands, to occasionally join in-person team and company activities.
About Us
  • The Patient Finder team includes ~30 professionals across App, Data, and AI/ML squads, plus QA, Deployment, Support, and Consultancy.
  • We’re part of IQVIA’s broader healthcare product portfolio across EMEA.
  • Flexible work environment: choose between office, home, or hybrid. We host monthly team days and some squads meet weekly.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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