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About the role
Job Summary Global MNC Tech is seeking a highly skilled and motivated Applied AI Engineer to join our FinTech Risk & Fraud team. In this role, you will design, develop, and deploy advanced AI and machine learning models to detect, prevent, and mitigate financial risks and fraudulent activities. You will work at the intersection of cuttingedge technology and financial services, contributing to secure, efficient, and innovative solutions that protect our global customer base. This is an exceptional opportunity for a professional passionate about AI, data science, and the FinTech ecosystem. Key Responsibilities Develop, implement, and maintain AI/ML models for risk assessment, fraud detection, and financial anomaly identification. Collaborate with crossfunctional teams including data engineers, product managers, and risk analysts to translate business requirements into technical solutions. Analyze largescale structured and unstructured datasets to extract actionable insights and identify potential vulnerabilities. Continuously monitor and improve model performance, ensuring high accuracy, low false positives, and compliance with regulatory standards. Conduct research on emerging AI techniques and apply them to solve complex risk and fraud problems. Design scalable AI pipelines and integrate solutions into production systems with robustness and efficiency. Prepare detailed technical documentation and communicate findings to both technical and nontechnical stakeholders. Required Skills and Qualifications Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. PhD is a plus. Strong proficiency in Python, R, or Java, with handson experience in AI/ML frameworks such as TensorFlow, PyTorch, or scikitlearn. Indepth understanding of machine learning algorithms, natural language processing, anomaly detection, and deep learning architectures. Experience with largescale data processing using SQL, Spark, Hadoop, or similar technologies. Familiarity with financial risk management, fraud detection strategies, and FinTech regulations. Strong problemsolving skills with the ability to translate complex data into actionable insights. Excellent communication and teamwork skills to work in a fastpaced, collaborative environment. Experience Minimum 35 years of handson experience in AI/ML engineering, preferably in the FinTech, banking, or financial services domain. Proven track record of developing productiongrade AI solutions that address risk and fraud detection. Experience with deploying machine learning models in cloud environments (AWS, Azure, GCP) is highly desirable. Working Hours Fulltime role, typically Monday to Friday, 4045 hours per week. Flexibility to accommodate global team collaborations and occasional urgent operational needs. Remote or hybrid work options may be available depending on business requirements. Knowledge, Skills, and Abilities Advanced analytical and statistical reasoning skills. Ability to innovate and apply AI techniques to realworld financial problems. Strong project management and organizational skills. Keen attention to detail and commitment to highquality, reliable solutions. Ability to learn quickly and adapt to evolving technologies and regulations in FinTech. Benefits Competitive salary and performancebased bonuses. Comprehensive health, dental, and vision insurance. Generous paid time off and flexible leave policies. Access to cuttingedge tools, technologies, and learning resources. Opportunities for career growth, mentorship, and international collaboration. Supportive, inclusive, and dynamic work culture. Why Join Global MNC Tech Global MNC Tech is a leading multinational technology company at the forefront of AI and FinTech innovation. Joining our team means working with worldclass professionals to solve some of the most challenging financial risk and fraud problems globally. We offer a culture of innovation, growth, and collaboration, where your work directly impacts millions of customers and drives the future of secure financial services. How to Apply Interested candidates are invited to submit their resume/CV and a cover letter detailing relevant experience and achievements through our careers portal at www.globalmnctech.com/careers or by emailing us. .
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