Senior Ai Data Scientist

Qualifyze; Laza; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Annual personal development budget

Private health care

Meal allowances

All-company events in Europe

Descripción de la vacante

Qualifyze is seeking a Senior AI Data Scientist to lead the development and implementation of advanced AI solutions within our Engineering team. You will translate business requirements into AI-driven applications and insights, collaborating across product, engineering, and domain experts to deliver measurable value.

The role involves designing, training, and deploying models, guiding junior members, and staying ahead of AI trends.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

Machine learning

Deep learning

Data analysis

Agile methodologies

Herramientas

TensorFlow

PyTorch

Keras

NLTK

SpaCy

Pandas

NumPy

Git

AWS

GCP

Azure

Descripción del empleo

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 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.