Key Responsibilities: Analyze datasets used for machine learning and AI model training. Monitor, evaluate, and report on AI model performance, accuracy, bias, and drift. Translate AI-driven insights into clear recommendations for business stakeholders. Support the deployment and ongoing optimization of AI models. Validate data quality and suitability for AI applications. Develop dashboards and reports tracking AI outcomes and KPIs. Ensure AI solutions align with governance, ethical, and regulatory requirements. Job Experience and Skills Required: Bachelors degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or a related field. Experience in data analysis, analytics, or AI-related roles. Strong analytical and problem-solving skills. Solid understanding of machine learning concepts and AI workflows. Experience working with large, complex datasets. Ability to communicate AI concepts to non-technical audiences. Apply now!

Key Duties and Responsibilities Dive into large, complex datasets to fuel AI and machine learning models Monitor and evaluate model performance (accuracy, bias, drift) and drive improvements Translate AI insights into clear, actionable recommendations for business stakeholders Support AI deployment and continuously optimize performance Build dashboards and reports that bring AI outcomes and KPIs to life Champion data quality and ensure AI solutions meet governance, ethical, and compliance standards Essential Skills and Qualifications A degree in Data Science, AI, Computer Science, Statistics, or similar Experience in data analysis, analytics, or AI-focused roles Strong analytical thinking and problem-solving abilities Solid understanding of machine learning and AI workflows Confidence working with large, complex datasets The ability to explain technical AI concepts in plain, business-friendly language Technical Skills: Your Toolkit Python & SQL Data visualization tools (Power BI, Tableau, Looker) Machine learning models and evaluation metrics Cloud platforms (AWS, Azure, or GCP) a strong advantage Knowledge of data pipelines and model deployment Nice to have Experience with AI ethics, bias detection, and model governance Background in security-related industries Personal Attributes Curious, innovative, and always learning Detail-oriented with a passion for accuracy Ethical and responsible in your approach to AI A collaborative team player who thrives cross-functionally What is in it for you. Be at the forefront of AI innovation, where your insights not only just inform decisions, but drive them. You will work on meaningful projects, collaborate with forward-thinking teams, and make a tangible impact. Ready to shape the future of intelligent systems while ensuring that it is ethical, secure, and high performing? This is your chance. Apply Now.