AI Engineer for Medical Report Parsing
il y a 4 jours
Therapixel - A Pioneer in AI-Driven Medical Imaging
We are a leading software company specializing in Artificial Intelligence applied to medical imaging.
Our mission is to empower radiologists with innovative software, designed with a high level of safety, quality, and performance, to improve their clinical practice.
As a multicultural, dynamic, and dedicated team, we strive to create a challenging work environment driven by talented individuals who share the same vision and passion.
Our strong sense of mutual commitment fosters synergy, pushing the boundaries of medical imaging.
Discover our journey and culture on our website and explore our product on mammoscreen.com
An exciting opportunity to gain hands-on experience with state-of-the-art machine learning techniques and contribute to projects with a real impact on patient outcomes.
You have great interest and understanding of ML/NLP, proficiency in Python, and experience with pre-trained language models.
Showcase your skills and passion
Job Description:
We are seeking an experienced AI Engineer to support our development and optimization of AI algorithms for medical report parsing. You will collaborate closely with our experienced team of data scientists and engineers to design, train, and evaluate machine learning models for image analysis and diagnostics.
This role offers a unique opportunity to gain hands-on experience with cutting-edge ML techniques and contribute to projects that drive innovation in medical imaging.
Key Responsibilities:
- Develop machine learning and NLP pipelines for medical report parsing, including preprocessing, training, validation, and deployment stages;
- Improve existing models and workflows by implementing and testing new NLP techniques;
- Conduct data preprocessing and annotation to optimize datasets for training;
- Participate in model evaluation, including performance measurement and analysis on unseen data;
- Identify areas for optimization within model architectures and contribute to model robustness and generalization efforts;
- Document findings, processes, and results to enhance shared knowledge and team collaboration.
Requirements and Qualifications:
- A Master's or Ph.D. degree in Computer Science, Data Science, Biomedical Engineering, or a related field with a strong focus on machine learning and deep learning,
- A solid understanding of machine learning fundamentals, including neural networks and model evaluation metrics,
- Experience with pre-trained language models (e.g., BERT, GPT),
- Familiarity with large language models (LLMs),
- Proficiency in Python, familiarity with NLP frameworks like PyTorch and Hugging Face, software development best practices, version control (Git), containerization (Docker).
Benefits and Working Conditions:
- A competitive salary of €50,000 per year, reflecting the job requirements and market conditions in Paris, France;
- Mentorship from experienced ML engineers and data scientists;
- Opportunity to work on projects contributing to the future of medical imaging;
- Flexible work environment and remote work options;
- Lunch vouchers and other benefits.
The Ideal Candidate:
- A self-starter with a can-do attitude and a willingness to learn;
- Collaborative, autonomous, and proactive individual with excellent communication skills;
- Able to thrive in a fast-paced environment and adapt to new challenges.
About Therapixel:
- A leader in AI-driven medical imaging solutions;
- A passionate team working towards a meaningful mission;
- A chance to make a real difference in patient outcomes.
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