AI Designer

This is a remote position.

Key Responsibilities

·         Design and develop AI-driven solutions that address strategic business needs and enhance enterprise capabilities.

·         Transform existing business processes to be AI-first or AI-enabled, ensuring seamless integration with current systems.

·         Collaborate with cross-functional teams to identify AI opportunities and create roadmaps for AI implementation.

·         Design within industry standards User Experience, Security, Financial discipline and Responsible AI guidelines and frameworks.

·         Develop and maintain AI models, ensuring their relevance and effectiveness in addressing business challenges.

·         Implement model management and AI governance practices to ensure compliance, transparency, and ethical AI usage.

·         Integrate AI solutions into enterprise systems and workflows, optimizing for performance and scalability.

·         Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and robustness.

·         Model Development: Design, develop, and optimize AI and ML models to meet specific project needs.

·         Data Analysis: Perform data collection, cleansing, and preprocessing to prepare robust datasets for modeling.

·         Algorithm Selection: Assess and select appropriate algorithms and tools for model creation.

·         Performance Evaluation: Evaluate model performance using relevant metrics and refine models as needed.

·         Documentation: Maintain detailed documentation of model development processes, parameters, and outcomes.

·         Collaboration: Work closely with cross-functional teams to integrate AI solutions into business operations.

·         Innovation: Stay updated with the latest advancements in AI and ML technologies and implement best practices.

Technical Disciplines

·         Data Science: Proficiency in data analysis, data mining, and data visualization techniques to extract valuable insights from large datasets.

·         Modelling: Expertise in developing and deploying machine learning models, including supervised, unsupervised, and reinforcement learning techniques.

·         Process Design: Ability to design and optimize business processes, ensuring they are aligned with AI capabilities and objectives.

·         Model Management: Experience in model lifecycle management, including versioning, monitoring, and retraining of AI models.

·         Model and AI Governance: Knowledge of best practices in AI governance, including ethical considerations, bias mitigation, and regulatory compliance.

Required Skills and Competencies

·         Data Science (DATS): Proficiency in data science techniques and methodologies to analyze complex datasets.

·         Machine Learning (MLNG): Expertise in machine learning frameworks, libraries, and tools.

·         Programming (PROG): Strong programming skills in languages such as Python, R, or Java.

·         Analytics (INAN): Ability to derive insights from data through statistical and analytical methods.

·         Algorithm Design (ALDS): Knowledge of algorithm design principles and their application in solving real-world problems.

·         Business Analysis (BUAN): Understanding business requirements and translating them into technical solutions.

·         Testing (TEST): Experience with model testing, validation, and quality assurance processes.

·         Project Management (PRMG): Skills in managing AI/ML projects from conception to deployment.

Qualifications

·         Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

·         3+ years of experience in designing and implementing AI and ML models.

·         Strong problem-solving skills and a proactive approach to identifying solutions.

·         Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

·         Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.