AI Engineer – Fraud & Anomaly Detection
🟨 Company Description
Intelligent Eyes Agency is a forward-thinking digital consultancy combining marketing innovation with smart technologies. We’re currently developing an AI-powered solution for fraud and anomaly detection — designed to help businesses proactively monitor and respond to irregular financial patterns. We’re seeking a talented AI Engineer to help bring this solution to life.
🟦 Role Description
This is a full-time remote role for an AI Engineer specializing in Fraud & Anomaly Detection. You’ll be responsible for building, training, and deploying machine learning models that identify suspicious behavior in real time.
Daily responsibilities will include:
Analyzing large datasets for irregular patterns
Designing and training neural networks and predictive models (e.g., K-NN)
Collaborating with cross-functional teams to develop smart, scalable AI solutions
Deploying AI models to cloud-based environments (e.g., AWS, Azure, GCP)
Integrating dashboards and SMS alert systems for real-time fraud alerts
Monitoring and optimizing model performance through continuous evaluation
🟪 Qualifications
✅ Advanced knowledge of Pattern Recognition and Anomaly Detection
✅ Proficiency in Computer Science fundamentals and software development
✅ Experience with Neural Networks and Natural Language Processing (NLP)
✅ Strong problem-solving and data interpretation skills
✅ Familiarity with Python and ML frameworks (e.g., TensorFlow, PyTorch)
✅ Ability to work independently and in a remote environment
✅ Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
➕ Experience with fraud detection, risk modeling, or financial systems is a strong plus
🔎 Please answer these screening questions when applying:
Do you have a Master’s Degree?
How many years of experience do you have with Applied Machine Learning?
How many years of experience do you have with Deep Learning?
How many years of experience do you have with Analytical Modelling?
How many years of Financial Services experience do you have?
How many years of experience do you have in Technology, Information, and Internet?
How many years of experience do you have in Computer and Network Security?
What is your level of proficiency in English?
Are you legally authorized to work in Lebanon?
How many years of Engineering experience do you have?
Please include your answers in your application. Only candidates meeting these criteria will be contacted.
#HiringNow
#AIEngineer
#MachineLearningJobs
#DeepLearning
#FraudDetection
#AnomalyDetection
#RemoteJobs
#DataScienceJobs
#TechJobs
#ArtificialIntelligence
#JobOpportunity
#FinancialTechnology
#CloudComputing
#PythonJobs
#CareerOpportunity
#JoinOurTeam
🟨 Why Join Us?
You’ll join a growing, agile team focused on building real-world AI systems that serve meaningful use cases. This is your chance to lead an impactful project, explore cutting-edge technologies, and help shape a secure, intelligent solution that detects threats before they happen.
📧 Apply Now
Send your CV or portfolio to: [email protected]
Or connect directly on LinkedIn.
Intelligent Eyes Agency is a forward-thinking digital consultancy combining marketing innovation with smart technologies. We’re currently developing an AI-powered solution for fraud and anomaly detection — designed to help businesses proactively monitor and respond to irregular financial patterns. We’re seeking a talented AI Engineer to help bring this solution to life.
🟦 Role Description
This is a full-time remote role for an AI Engineer specializing in Fraud & Anomaly Detection. You’ll be responsible for building, training, and deploying machine learning models that identify suspicious behavior in real time.
Daily responsibilities will include:
Analyzing large datasets for irregular patterns
Designing and training neural networks and predictive models (e.g., K-NN)
Collaborating with cross-functional teams to develop smart, scalable AI solutions
Deploying AI models to cloud-based environments (e.g., AWS, Azure, GCP)
Integrating dashboards and SMS alert systems for real-time fraud alerts
Monitoring and optimizing model performance through continuous evaluation
🟪 Qualifications
✅ Advanced knowledge of Pattern Recognition and Anomaly Detection
✅ Proficiency in Computer Science fundamentals and software development
✅ Experience with Neural Networks and Natural Language Processing (NLP)
✅ Strong problem-solving and data interpretation skills
✅ Familiarity with Python and ML frameworks (e.g., TensorFlow, PyTorch)
✅ Ability to work independently and in a remote environment
✅ Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
➕ Experience with fraud detection, risk modeling, or financial systems is a strong plus
🔎 Please answer these screening questions when applying:
Do you have a Master’s Degree?
How many years of experience do you have with Applied Machine Learning?
How many years of experience do you have with Deep Learning?
How many years of experience do you have with Analytical Modelling?
How many years of Financial Services experience do you have?
How many years of experience do you have in Technology, Information, and Internet?
How many years of experience do you have in Computer and Network Security?
What is your level of proficiency in English?
Are you legally authorized to work in Lebanon?
How many years of Engineering experience do you have?
Please include your answers in your application. Only candidates meeting these criteria will be contacted.
#HiringNow
#AIEngineer
#MachineLearningJobs
#DeepLearning
#FraudDetection
#AnomalyDetection
#RemoteJobs
#DataScienceJobs
#TechJobs
#ArtificialIntelligence
#JobOpportunity
#FinancialTechnology
#CloudComputing
#PythonJobs
#CareerOpportunity
#JoinOurTeam
🟨 Why Join Us?
You’ll join a growing, agile team focused on building real-world AI systems that serve meaningful use cases. This is your chance to lead an impactful project, explore cutting-edge technologies, and help shape a secure, intelligent solution that detects threats before they happen.
📧 Apply Now
Send your CV or portfolio to: [email protected]
Or connect directly on LinkedIn.