We’re looking for a Machine Learning Engineer to join a project focused on developing advanced fraud detection and anti-money laundering (AML) analytics for one of our fintech clients. You’ll work with data specialists, backend engineers, and product teams to develop scalable ML solutions for real-time fraud prevention. What will you do? Develop and fine-tune anomaly detection models. Process and prepare data for model training and analysis. Integrate ML models with backend systems (currently using Java and OpenSearch). Collaborate with domain experts on improving fraud-related detection. Proven experience developing ML models, ideally for anomaly detection. Strong programming skills (Java, Python, or similar). Experience with data processing and analytical platforms. Understanding of fraud detection concepts. Familiarity with containerization, CI/CD, and ML infrastructure. English fluency.
Working conditions 1 year contract (B2C or B2B) with possibility for extension
PTO available Salary received in USD
Our values We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect. About IT Labs Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams around the world - the UK, the Netherlands, Brazil, Argentina, Serbia, Croatia, BIH, Montenegro and North Macedonia. We are constantly growing, and we would love for you to become part of our team!
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