Requirements
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- 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

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- 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 xqbhyrx 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 techniquesCommunicate 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

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📌 Senior AI Data Scientist (Barcelona)
🏢 Qualifyze
📍 Barcelona