<p>JobID: 210621977</p> <p>Category: Predictive Science</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2025-05-09T13:20:41+00:00</p> <p>JobShift:</p> <p>:</p> <p>Come join us in reshaping the future!</p> <p>As AI/ML Lead you will be working on machine learning, big data and distributed computing with applications in credit card business. The successful candidate will drive long-term profitable growth using AI / ML powered predictive models with strong business acumen, collaborate in a team environment, and effectively communicate results to senior management.</p> <p>Job Responsibilities</p> <ul> <li>Design and develop machine learning models to drive impactful decisions for the card business throughout the customer lifecycle (e.g., acquisition, account management, transaction authorization, collection) </li><li>Utilize cutting-edge machine learning approaches, and construct sophisticated machine learning models including deep learning architecture on big data platforms </li><li>Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production </li><li>Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models) </li><li>Present Model result and Adhoc research to senior leaders </li></ul> <p>Required qualifications, capabilities and skills</p> <ul> <li>Ph.D. or Master's degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering </li><li>Demonstrated experience in designing, building, and deploying production quality machine learning models </li><li>Deep understanding of machine learning algorithms (e.g., regressions, XGBoost, CNN, RNN) as well as design and tuning </li><li>At least 5 years of experience and proficiency in coding (e.g., Python, TensorFlow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive) </li></ul> <p>Preferred qualifications, capabilities and skills</p> <ul> <li>Experience in credit card industry with strong business acumen </li><li>Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired </li><li>Experience in interpreting machine learning models such as XGBoost, GBM, etc. Experience in interpreting deep learning models is a plus </li><li>Strong ownership and execution; proven experience in implementing models in production </li></ul>