Job Summary

Startup Inno is seeking a highly motivated and innovative Applied AI Scientist specializing in Fraud Detection and Cybersecurity to join our advanced analytics team. In this role, you will design, develop, and deploy intelligent machine learning and AI-driven solutions that proactively detect fraudulent activities, mitigate cyber threats, and strengthen enterprise security posture. The ideal candidate combines strong technical expertise with business acumen and thrives in fast-paced, data-rich environments.

Key Responsibilities

• Design, build, and optimize machine learning and deep learning models for fraud detection, anomaly detection, and cybersecurity threat identification.

• Develop real-time and batch detection pipelines using large-scale structured and unstructured datasets.

• Collaborate with cybersecurity, risk, and product teams to translate business problems into scalable AI solutions.

• Implement feature engineering strategies for behavioral analytics, transaction monitoring, and threat intelligence.

• Monitor model performance, conduct model validation, and continuously improve detection accuracy while minimizing false positives.

• Build explainable AI solutions to support compliance, audit, and regulatory requirements.

• Research and prototype advanced techniques such as graph analytics, network analysis, and adversarial machine learning.

• Deploy and maintain models in production using MLOps best practices.

• Prepare technical documentation and communicate findings to both technical and non-technical stakeholders.

Required Skills and Qualifications

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Cybersecurity, Statistics, or a related field.

• Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, or similar).

• Solid understanding of machine learning algorithms, anomaly detection, and classification techniques.

• Experience working with large datasets using SQL and distributed computing tools (e.g., Spark).

• Knowledge of fraud detection methodologies and cybersecurity concepts.

• Familiarity with cloud platforms such as AWS, Azure, or GCP.

• Strong analytical thinking and problem-solving abilities.

• Excellent communication and stakeholder management skills.

Experience

• 3–6 years of hands-on experience in applied machine learning, preferably in fraud detection, fintech risk, or cybersecurity domains.

• Proven track record of deploying ML models into production environments.

• Experience with real-time streaming systems (Kafka, Flink, or similar) is highly desirable.

• Prior exposure to graph-based fraud detection or network security analytics is a plus.

Working Hours

• Full-time position.

• Standard business hours with flexibility to support global teams when required.

• Hybrid or remote options available based on project needs and location.

Knowledge, Skills, and Abilities

• Deep understanding of statistical modeling and predictive analytics.

• Ability to work with imbalanced datasets and rare event detection.

• Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.

• Familiarity with cybersecurity frameworks, threat intelligence, and risk scoring methods.

• Ability to balance research innovation with production reliability.

• Strong collaboration skills and ability to work in cross-functional teams.

• High attention to detail and commitment to data integrity and security.

Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Flexible work arrangements (remote/hybrid options).

• Professional development and certification support.

• Access to cutting-edge AI infrastructure and tools.

• Generous paid time off and company holidays.

• Collaborative and innovation-driven work culture.

Why Join Startup Inno

At Startup Inno, you will work at the forefront of AI-driven security innovation. We empower our teams to solve complex, real-world problems that directly impact customer trust and business resilience. You will have the opportunity to collaborate with top-tier talent, influence product direction, and grow your expertise in a high-impact domain where your work truly matters.

How to Apply

Interested candidates are invited to submit their updated resume along with a brief cover letter highlighting relevant experience in AI, fraud detection, or cybersecurity. Applications will be reviewed on a rolling basis. Qualified candidates will be contacted for the next steps in the selection process.

Startup Inno is an equal opportunity employer and values diversity in the workplace.