This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do. As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science , MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical, machine learning and AI solutions. Successful candidates should demonstrate business acumen, knowledge of data, and AI solutions to support key products within team that focus on improving customer experience, increasing revenue, and improving efficiency across the business. Responsibilities Summary: We are seeking a highly motivated and skilled AI/ML Engineer to contribute to cutting-edge research and development within our team. This role offers a unique opportunity to work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. The successful candidate will be involved in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. A strong theoretical foundation and hands-on coding experience are essential. Responsibilities: Design, develop, and implement AI/ML models and algorithms to solve complex problems. Perform data preprocessing, cleaning, and feature engineering to prepare data for model training. Train, evaluate, and tune various machine learning models. Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Document code, experiments, and results clearly and concisely. Collaborate effectively with other engineers within the team. · Ability to work within an agile development model working closely with a product manager and other engineers. Qualifications The minimum requirements we seek: Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) 3+ years of experience of analytical methods and their proper application 3+ years of experience using AI/ML, data science software (e.g., Python-based tools) MUST HAVE experience using Gen AI technologies. Experience using Cloud Platforms and AI Platforms. Our preferred requirements: Working knowledge of GCP. Expertise in open-source data science technologies such as Python, R, Spark, SQL. Conceptual understanding of data pipelines and MLOps

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