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IQVIA

Junior Machine Learning Engineer

IQVIA
Poland · Full-time · Not Applicable

Job Overview

Develop fit for purpose AIML models/algorithms/processes and Agentic AI applications to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability in order to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery.

Essential Functions

  • Supporting development of Agentic AI solutions in the life sciences domain
  • Fine-tuning pre-trained foundation models and supporting different stakeholders with analysis and implementation
  • Assists in the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
  • Assists in the development of features of models on individual projects and/or products with guidance and support from others
  • Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
  • Assists in the building and training of new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developed
  • Uses a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
  • With guidance and support from others, assists in the testing and validation of models to determine viability for deployment.
  • Assists in creating fit for purpose experiments and prototype ideas to address pharma questions.
  • Consult for internal and external clients, implement solution development and innovation with guidance and support from others, assist in client AI project technical delivery

Qualifications

  • Master's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
  • 0-2 years’ experience working on creating machine learning algorithms
  • Programming experience using Python
  • Experience working with large, real world datasets
  • Good project management, time management and organisational skills; eagerness to work with internal and client business owners to ensure they are asking the right questions

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.

The potential base pay range for this role, when annualized, is 91 000,00 zł - 168 900,00 zł. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Key Skills

Ranked by relevance

machine learning ai natural language processing prototypes python
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Posted
Jul 04, 2026
Type
Full-time
Level
Not Applicable
Location
Warsaw
Company
IQVIA

Industries

Hospitals Health Care

Categories

Engineering Information Technology

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