About the job 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻: We are seeking a Senior Artificial Intelligence / Machine Learning Telecom Fraud Specialist to lead our defense against sophisticated telecom fraud. In this pivotal role, you will architect and deploy next-generation, AI-driven fraud detection frameworks to protect company revenue and maintain customer trust. You will be responsible for the entire lifecycle of AI/ML models targeting threats like SIM box, roaming, and OTT fraud. This position involves driving advanced predictive strategies, optimizing our core Fraud Management Systems (e.g., Subex, Mobileum), and mentoring a team of skilled analysts. You will collaborate closely with IT, Data, and Business teams to integrate cutting-edge technologies and ensure our fraud prevention capabilities are best-in-class. Your expertise will be crucial in assessing risks associated with new products and maintaining 24/7 system integrity. This is a strategic role focused on innovation, cost optimization, and making a significant impact on our bottom line by mitigating fraud-related losses. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀: ▸ Over 10 years of experience in telecom fraud management, with expertise in diverse cases like SIM box, roaming, and OTT fraud. ▸ Demonstrated experience managing the full lifecycle of Artificial Intelligence / Machine Learning models, from conception and design to deployment and maintenance. ▸ Hands-on expertise with industry-standard Fraud Management Systems (FMS) such as Subex, Mobileum, or WeDo. ▸ Advanced proficiency in AI/ML programming languages and libraries, including Python, R, TensorFlow, and PyTorch. ▸ Strong experience with big data and cloud technologies, including Hadoop, AWS, Azure, or GCP. ▸ In-depth knowledge of telecom network technologies, including GSM, LTE, and 5G. ▸ Proven ability to develop and implement advanced fraud strategies using predictive analytics and anomaly detection. ▸ Exceptional leadership and interpersonal skills for mentoring teams and collaborating with cross-functional departments. ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀: ▸ A Master's degree or Ph.D. in Computer Science, Data Science, or a related quantitative field. ▸ Professional certifications in AI/ML, data science, or fraud risk management (e.g., CFE). ▸ Experience with both Operations Support Systems (OSS) and Business Support Systems (BSS) in a telecom environment. ▸ Published research or speaking experience in the fields of AI, machine learning, or fraud prevention. ▸ Experience in a 24/7 operational environment requiring system monitoring and timely incident response.
