Senior AI Data Scientist

Qualifyze

14h • Hybrid

About The Position

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.

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.
• 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 Haves

• 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 .

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.

Benefits

• Competitive, annually reviewed compensation package
• Country vacation package that increases with your tenure
• Country specific benefits offering incl. private health care, fitness and meal allowances
• Annual personal development budget to increase your impact
• Hybrid working mode, plus up to 3 months of the year work from anywhere.
• All the best kit and tools to work effectively
• Annual in person all company event and celebration in Europe

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed