Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts. With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.
We are looking for an AI Data Scientist to join our Engineering team! As a Senior AI Data Scientist, you will lead the development and implementation of advanced artificial intelligence solutions. You will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business value.
Conduct research and experimentation to advance the state-of-the-art in AI and machine learning. Perform data preprocessing, feature engineering, and model selection for optimal performance. Evaluate and optimize AI models using performance metrics and model validation techniques.
Communicate findings and insights effectively to stakeholders through data storytelling and visualization. Mentor and guide junior team members in AI concepts, tools, and best practices. Proficiency in Python with a focus on AI libraries (TensorFlow, PyTorch, Keras).
Strong understanding of machine learning algorithms and deep learning architectures (CNNs, RNNs, GANs, Transformers). Familiarity with data manipulation and analysis libraries (Pandas, NumPy). Knowledge of cloud platforms for AI deployment (AWS, GCP or Azure).
Experience with version control systems (Git) for collaborative development. 5+ years of experience in AI, machine learning, or related fields. ~ Strong foundation in statistics and data analysis as it relates to AI. ~ Familiarity with Agile methodologies and product development cycles . For this role, we’re happy to share a reference point within the band: the expected salary range is around 60k – 70k € , centred around the median. Final compensation will depend on experience and performance during the process, with some flexibility within the range.
Annual personal development budget to increase your impact. Hybrid working mode, plus up to 3 months of the year work from anywhere.
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