📌 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.

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🎯 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.