Job Summary

Startup Inno is seeking a highly motivated and innovative Applied AI Scientist – Fraud Detection & Cybersecurity to join our advanced analytics and security team. In this role, you will design, develop, and deploy intelligent AI-driven systems to detect, prevent, and respond to fraudulent activities and cyber threats across digital platforms.

You will work at the intersection of machine learning, data science, and cybersecurity, building scalable models that protect business operations, customer data, and digital assets. This position is ideal for professionals who are passionate about applying cutting-edge AI techniques to solve real-world security challenges in a fast-paced, innovation-driven environment.

Key Responsibilities

• Design and implement machine learning and deep learning models for fraud detection, anomaly detection, and cyber threat identification.

• Develop real-time and batch AI systems to monitor transactions, network traffic, and user behavior.

• Analyze large-scale structured and unstructured datasets to uncover suspicious patterns and emerging threats.

• Collaborate with cybersecurity teams to integrate AI solutions into security infrastructure and incident response systems.

• Build and maintain model pipelines, including data preprocessing, feature engineering, training, validation, and deployment.

• Continuously evaluate and improve model performance, accuracy, and robustness against evolving threats.

• Research and apply state-of-the-art AI and security techniques (e.g., graph ML, NLP, reinforcement learning).

• Document models, experiments, and findings for technical and non-technical stakeholders.

• Ensure compliance with data privacy, regulatory standards, and ethical AI practices.

Required Skills and Qualifications

• Strong foundation in Machine Learning, Deep Learning, and Statistical Modeling.

• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Solid understanding of fraud detection systems, cybersecurity principles, and risk analytics.

• Experience working with big data technologies (SQL, Spark, Hadoop, NoSQL databases).

• Knowledge of anomaly detection, classification, clustering, and graph-based models.

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

• Strong problem-solving skills and the ability to translate business problems into AI solutions.

• Excellent communication skills to present insights to both technical and business teams.

Experience

• 3–6 years of experience in Data Science, Applied AI, or Machine Learning roles.

• Prior experience in fraud analytics, cybersecurity, fintech, banking, or e-commerce is highly preferred.

• Experience deploying models into production environments.

• Research experience or publications in AI/security domains is a plus.

Working Hours

• Full-time position, 40 hours per week.

• Flexible working hours with hybrid or remote options available.

• Occasional collaboration across global time zones may be required.

Knowledge, Skills, and Abilities

• Strong analytical and critical thinking abilities.

• Ability to work independently and in cross-functional teams.

• High level of curiosity and continuous learning mindset.

• Ability to handle sensitive data with confidentiality and integrity.

• Strong project management and prioritization skills.

• Passion for innovation in AI and cybersecurity domains.

Benefits

• Competitive salary with performance-based incentives.

• Flexible work arrangements (remote/hybrid).

• Health insurance and wellness programs.

• Learning and development budget for certifications and conferences.

• Access to cutting-edge AI tools and cloud infrastructure.

• Career growth opportunities in a high-impact, innovative environment.

• Inclusive and collaborative company culture.

Why Join Startup Inno?

At Startup Inno, we believe in building technology that makes the digital world safer and smarter. You will be part of a forward-thinking team where your ideas matter and your work has a direct impact on real-world security challenges. We foster a culture of innovation, experimentation, and continuous improvement, offering you the opportunity to grow both technically and professionally.

This is your chance to work on mission-critical AI solutions that protect millions of users and businesses globally.

How to Apply

Interested candidates are encouraged to submit their updated resume along with a brief cover letter highlighting their experience in AI, fraud detection, or cybersecurity.