Senior AI Data Scientist, Qualifyze

• 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)
• 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 Bedrock, Google AI Platform)
• Experience with version control systems (e.g., Git) for collaborative development
• Strong analytical and critical thinking skills, with the ability to communicate complex AI concepts to non-technical stakeholders
• Ability to collaborate effectively in interdisciplinary teams, demonstrating an innovative mindset and a passion for solving challenging problems
• Willingness to learn new AI techniques, with excellent organizational skills and attention to detail
• 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

• We are looking for an AI Data Scientist to join our Engineering team!
• As a Senior AI Data Scientist, you will be at the forefront of developing and implementing advanced artificial intelligence solutions
• Your role will involve harnessing 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 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