Are you ready to join a world leader in the exciting and dynamic fields of the Pharmaceutical and Medical Device industries? PQE Group has been at the forefront of these industries since 1998, with 40 subsidiaries and more than 2000 employees in Europe, Asia, and the Americas.
Job Overview
We are seeking a talented and driven Machine Learning Engineering Manager to join our team and help us achieve ambitious milestones. In this role, you will oversee the daily operations of the Machine Learning team, guiding the design and implementation of infrastructure for reliable and high-performance machine learning and analytics pipelines. The team tackles a diverse set of challenges, including the detection and classification of dental conditions from medical images, alongside the application of cutting-edge machine learning methods to solve complex problems in our domain.
Responsibilities:
- Lead the daily execution of the ML team, driving the design, development, and optimization of machine learning and data pipeline infrastructure.
- Tackle complex machine learning problems, including medical image analysis for dental condition detection and the application of advanced ML techniques across a variety of domains.
- Oversee the management of large-scale data sets, ensuring their effective use for algorithm evaluation and clinical efficacy testing.
- Collaborate with researchers, physicians, and external partners, contributing to groundbreaking work in the field of healthtech.
- Guide the team through strategic decision-making, ensuring alignment with business goals and technological advancements.
- Establish and maintain robust processes to measure and improve the performance and impact of machine learning algorithms.
- Foster a culture of innovation, mentorship, and excellence within the ML team.
- Coordinate with cross-functional teams to ensure smooth integration of machine learning solutions with broader software development efforts.
Qualifications:
- M.S. or PhD in Computer Science, Machine Learning, or a related field.
- A minimum of 7 years of hands-on development experience building deep learning models and data pipelines.
- At least 2 years of experience in people/team management, with a demonstrated ability to lead by example and strengthen team capabilities.
- Expertise in strategic communication and collaboration, with the ability to work effectively across interdisciplinary teams.
- Broad experience in machine learning, with a focus on areas such as natural language understanding and computer vision.
- Exceptional Python development skills, including experience with CI/CD processes and version control tools like GitHub.
- Experience applying business context to data science decision-making, ensuring that machine learning solutions align with broader organizational goals.
Preferred Qualifications:
- Proven experience in managing or leading teams through complex projects, particularly those involving cross-functional collaboration and technical challenges.
- Publications or blog posts showcasing your expertise in data science or machine learning.
- Experience in reading and implementing technical research papers and applying state-of-the-art methods.
- Familiarity with the healthtech industry and its specific challenges.
Next Steps
Upon receiving your application, if a match is found, the Recruiting department will contact you for an initial HR interview. If there's a positive match, a technical interview with the Hiring Manager will be arranged. In the case of a positive feedback coming from the Hiring Manager interview, the recruiter will contact you for the next steps or to discuss our proposal. Alternatively, if the feedback is negative, we will contact you to halt the recruitment process.
Working at PQE Group
As a member of the PQE team, you will be part of a challenging, multicultural company that values collaboration and innovation. PQE Group gives you the opportunity to work on international projects, improve your skills and interact with colleagues from all corners of the world. If you are looking for a rewarding and exciting career, PQE Group is the perfect place for you. Apply now and take the first step towards an amazing future with us.