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

, (Desirable) Experience with reinforcement learning and advanced AI techniques

, (Desirable) Familiarity with ethical AI practices and regulations

, (Desirable) Understanding of business applications and implications of AI technologies

, (Desirable) Experience related to LLMs, Bedrock etc

What the job involves

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

, 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

📌 Senior AI Data Scientist: Lead Production ML & NLP (Madrid)
🏢 Qualifyze
📍 Madrid