InovIntell is hiring

Machine Learning Engineer With Focus on Synthetic Data Generation

About our Company
InovIntell is a startup developing AI-empowered solutions for life sciences companies. Our solutions are used at all stages of the development and evaluation process of medical products. The company relies on an international team of experts in artificial intelligence, data science and software programming, as well as life sciences.
For more information, please visit our website www.inovintell.com.

Position Summary
One of the workstreams of InovIntell is the development and application of models for generating synthetic patients. Synthetic patient data mimic the properties of and relationships in real data. They may be used for anonymization purposes, counterfactual simulations, missing data imputation or extrapolation.
We are seeking a talented and motivated mid-level Machine Learning Engineer to join our team. The successful candidate will contribute to the development, validation and application of models for generating synthetic tabular data.

Key Responsibilities
– Write Python code for the training, validation and application of machine-learning models for generating tabular data
– Analyze and pre-process ground truth data
– Propose adaptations in model architectures, training algorithms and validation methods for new applications
– Analyze generated data and propose and implement solutions to improve the performance of existing methods
– Proactively collaborate with internal and external clients to build synthetic datasets addressing business needs
– Continuously evaluate and experiment with state-of-the-art machine learning methods to improve product offerings

Requirements
– Proven experience in machine learning and deep learning, including development of generative models, ideally for tabular data and time series.
– Experience in pre-processing tabular data and time series.
– Excellent programming skills, particularly in Python and relevant ML libraries (e.g., scikit-learn, PyTorch, Pytorch Lightning, Prophet).
– Experience with GCP or another cloud platform (Azure, AWS, …)
– Strong analytical skills, ability to identify patterns in data and understand relationships between model inputs and outputs
– Ability to work effectively in a hybrid work setting and collaborate with an international team.
– Strong problem-solving skills
– A proactive approach to learning new technologies.
– Excellent communication skills in English, both written and verbal
– Bonus points for candidates with experience in the life sciences sector.

Why InovIntell
– Be part of pioneering projects that drive advancements in the life sciences sector.
– Join a human-sized, international, multidisciplinary team.
– A start-up environment with fast career advancement.
– Flexible working conditions that respect work-life balance considerations

Comment postuler
Interested candidates are invited to submit their CV and cover letter in English to ›

Ville › Tunis
Entreprise › InovIntell
Adresse › Les Berges du Lac, Tunis, Tunisia
Site Web › https://www.inovintell.com/