Machine Learning Engineer

IQVIA; Barcelona; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative company is seeking a talented Machine Learning Engineer to develop cutting-edge AIML models for the healthcare sector. This role involves transforming machine learning research into practical applications, fine-tuning algorithms, and collaborating with various stakeholders to ensure successful project delivery. You'll work with large datasets and contribute to the development of solutions that enhance patient outcomes. Join a forward-thinking organization that values diversity and fosters a culture of belonging, empowering you to make a significant impact in the healthcare industry.

Formación

• 2-4 years of experience in machine learning algorithm creation.
• Strong programming skills in Python and experience with real-world datasets.

Responsabilidades

• Develop and test AIML models for healthcare applications.
• Collaborate with stakeholders to implement AI solutions.

Conocimientos

Machine Learning Algorithms

Python Programming

Natural Language Processing

Project Management

Educación

Master's Degree in Machine Learning

Bachelor's Degree in Statistics

Herramientas

Large Datasets

Descripción del empleo

Job Overview
Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client delivables. 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 generative AI solutions in the life sciences domain
• Fine-tuning pre-trained foundation models and supporting different stakeholders with analysis and implementation
• Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
• Facilitates 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
• Facilitates 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
• Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others
• Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery

Qualifications

• 2-4 years of commercial experience working on creating machine learning algorithms
• Demonstrated ability to apply an engineering mindset to problem-solving
• Extensive programming experience using Python
• Experience working with large, real world datasets
• Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
• Good commercial awareness/business judgement and an interest in the healthcare industry
• 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.

At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes.