Job description
About Qualifyze,
Founded in ****, 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 general 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.
Job requirements
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 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
Working with an exceptional team, doing some of the best work of your career
At Qualifyze we actively support the power of diversity, uniting complementary talents and perspectives to address new challenges. Our collective strengths help us to find innovative solutions and turn difficulties into opportunities. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone belongs and feels heard.
We are an equal opportunity employer and we welcome applications from candidates of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, marital status, religion, disability, or age. Our hiring practices are rooted in fairness and respect, and we strive to create a culture where everyone feels valued and empowered.
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