Requirements

- Proficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras)
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- Strong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers)
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- Experience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy)
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- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy)
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- Knowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure)
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- Experience with version control systems (e.g., Git) for collaborative development
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- 5+ years of experience in AI, machine learning, or related fields
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- Proven experience in developing and deploying AI models in production environments
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- Strong foundation in statistics and data analysis as it relates to AI
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- Familiarity with Agile methodologies and product development cycles
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- (Desirable) Experience with reinforcement learning and advanced AI techniques
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- (Desirable) Familiarity with ethical AI practices and regulations
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- (Desirable) Understanding of business applications and implications of AI technologies
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- (Desirable) Experience related to LLMs, Bedrock etc

What the job involves

- We are looking for an AI Data Scientist to join our Engineering team
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- As a Senior AI Data Scientist,



you will lead the development and implementation of advanced artificial intelligence solutions
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- You will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business value
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- You will work collaboratively with cross-functional teams to translate business requirements into AI-driven applications and insights
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- Design, develop, and deploy AI models and algorithms to address specific business challenges
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- Conduct research and experimentation to advance the state-of-the-art in AI and machine learning
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- Collaborate with product managers, engineers, and domain experts to identify opportunities for AI integration
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- Perform data preprocessing, feature engineering, and model selection for optimal performance
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- Evaluate and optimize AI models using performance metrics and model validation techniques
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- Communicate findings and insights effectively to stakeholders through data storytelling and visualization
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- Mentor and guide junior team members in AI concepts, tools, and best practices
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- Stay current with advancements in AI technologies and methodologies

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