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 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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📌 Ai Data Scientist (Applied Ai For Industry) (Gracia)
🏢 Eurecat Centro Tecnológico De Catalunya
📍 Gracia