AI Data Scientist

Job Title: AI EngineerLocation: UKJob Type: Full-timeAbout: This business has established an innovative platform designed to provide comprehensive market insights, user data analytics, and interactive visualizations to drive informed decision-making. Their product leverages cutting-edge AI technologies to deliver real-time data processing, trend analysis, and predictive analytics.Job Description: We are seeking a talented and experienced AI Engineer to join our dynamic team. The successful candidate will be responsible for designing, developing, and deploying AI-driven features and tools for the company. This role requires a deep understanding of data processing, machine learning, and data visualization techniques.Key Responsibilities:AI Components Development:Design and implement algorithms for data collection, processing, and analysis.Develop and integrate machine learning models for trend analysis, KPI monitoring, and predictive analytics.Ensure the robustness and scalability of AI models to handle large datasets in real-time.Data Processing and Integration:Oversee data cleaning, integration, and preprocessing pipelines.Implement data validation and quality assurance measures.User Interface Collaboration:Work closely with frontend developers to integrate AI features into the user interface.Develop interactive visualization tools to present data insights effectively.Product Development:Collaborate with product managers, data scientists, and other engineers to define AI requirements and deliverables.Conduct regular code reviews and contribute to the continuous improvement of the AI development process.Required Qualifications:3+ years of experience in AI/ML development and deployment.Proficiency in programming languages such as Python, R, or Java.Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Strong understanding of data processing techniques and tools (e.g., SQL, Pandas).Familiarity with data visualization libraries (e.g., D3.js, Plotly).Excellent problem-solving skills and ability to work in a collaborative environment.Preferred Qualifications:Experience with real-time data processing and big data technologies (e.g., Apache Spark, Hadoop).Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and deployment of AI models in a cloud environment.Experience with version control systems (e.g., Git) and collaborative development practices.Soft Skills:Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.Ability to work independently and manage multiple tasks simultaneously.Enthusiasm for learning new technologies and staying current with industry trends.What We Offer:Competitive salary and benefits package.Opportunity to work on cutting-edge AI technologies.Collaborative and inclusive work environment.Professional development and growth opportunities.Please apply below!