Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
Developing scalable AI systems using advanced algorithms and software engineering techniques
Collaborating with clients to understand their needs and deliver tailored data solutions
Utilizing data wrangling and integration skills to prepare data for AI model deployment
Applying machine learning libraries such as TensorFlow and Scikit-Learn to enhance model performance
Conducting complex data analysis to inform decision-making and drive business growth
Building and maintaining data pipelines and infrastructure to support AI initiatives
Leveraging programming languages like Python and Java for AI system development
Engaging in continuous learning to stay updated with the latest AI and machine learning advancements
Mentoring junior team members and guiding them in AI project execution

At least a Bachelor's degree
At least 2 years of experience
Preference for fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Utilizing AI implementation and machine learning libraries like TensorFlow and Scikit-Learn
Proficiency in programming languages such as Python and Java
Excelling in complex data analysis and data modeling techniques
Navigating ambiguity while building meaningful client connections
Developing insights through data interpretation and analytical thinking

Senior Associate – Risk Architecture, Agentic AI, Machine Learning Developer

Key skills