Senior AI Data Scientist

About Qualifyze, 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. Role Overview: 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. You will work collaboratively with cross-functional teams to translate business

requirements into AI-driven applications and insights Main

Responsibilities: Design, develop, and deploy AI models and algorithms to address specific business challenges. Conduct research and experimentation to advance the state-of-the-art in AI and machine learning. Collaborate with product managers, engineers, and domain experts to identify opportunities for AI integration. 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. Stay current with advancements in AI technologies and methodologies. Main

requirements: Proficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras ). Strong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers ). Experience with natural language processing ( NLP ) techniques and frameworks (e.g., NLTK, SpaCy). Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy ). Knowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure ). Experience with version control systems (e.g., Git ) for collaborative development. Must have skills: 5+ years of experience in AI, machine learning, or related fields. Proven experience in developing and deploying AI models in production environments. Strong foundation in statistics and data analysis as it relates to AI. Familiarity with Agile methodologies and product development cycles . Nice-to-Have Skills: Experience with reinforcement learning and advanced AI techniques. Familiarity with ethical AI practices and regulations . Understanding of business applications and implications of AI technologies. Experience related to LLMs, Bedrock etc . What do we offer? 💰Competitive, annually reviewed