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 xugodme 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 (Barcelona)
🏢 Qualifyze
📍 Barcelona