ph3Requirements /h3ulliProficiency in Python with a focus on AI libraries (e.g., TensorFlow, PyTorch, Keras) /li,liStrong understanding of machine learning algorithms and deep learning architectures (e.g., CNNs, RNNs, GANs, Transformers) /li,liExperience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy) /li,liFamiliarity with data manipulation and analysis libraries (e.g., Pandas, NumPy) /li,liKnowledge of cloud platforms for AI deployment (e.g., AWS, GCP or Azure) /li,liExperience with version control systems (e.g., Git) for collaborative development /li,li5+ years of experience in AI, machine learning, or related fields /li,liProven experience in developing and deploying AI models in production environments /li,liStrong foundation in statistics and data analysis as it relates to AI /li,liFamiliarity with Agile methodologies and product development cycles /li,li(Desirable) Experience with reinforcement learning and advanced AI techniques /li,li(Desirable) Familiarity with ethical AI practices and regulations /li,li(Desirable) Understanding of business applications and implications of AI technologies /li,li(Desirable) Experience related to LLMs, Bedrock etc /li /ulh3What the job involves /h3ulliWe are looking for an AI Data Scientist to join our Engineering team /li,liAs a Senior AI Data Scientist,



you will lead the development and implementation of advanced artificial intelligence solutions /li,liYou will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business value /li,liYou will work collaboratively with cross-functional teams to translate business requirements into AI-driven applications and insights /li,liDesign, develop, and deploy AI models and algorithms to address specific business challenges /li,liConduct research and experimentation to advance the state-of-the-art in AI and machine learning /li,liCollaborate with product managers, engineers, and domain experts to identify opportunities for AI integration /li,liPerform data preprocessing, feature engineering, and model selection for optimal performance /li,liEvaluate and optimize AI models using performance metrics and model validation techniques /li,liCommunicate findings and insights effectively to stakeholders through data storytelling and visualization /li,liMentor and guide junior team members in AI concepts, tools, and best practices /li,liStay current with advancements in AI technologies and methodologies /li /ul /p #J-18808-Ljbffr

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