Company Description TheInterviews.ai is an AI-driven interview intelligence platform that helps individuals and organizations better evaluate real-world skills and on-the-job performance. By combining expert interviewers, peer-to-peer practice, and machine learning–based interview analysis, the platform focuses on structured problem-solving, clear communication, and effective decision-making.

Professionals use TheInterviews.ai to practice with AI bots and human interviewers, receive real-time feedback, optimize resumes, and access tailored preparation resources. Companies leverage the platform to source and assess talent through structured, AI-assisted interviews, reducing hiring costs while improving consistency and signal quality. Built and operated by Invent Artificial LLC, TheInterviews.ai incorporates integrity and consistency checks to detect anomalies and misuse patterns, while intentionally augmenting—not replacing—human judgment in hiring.

Role Description As a Senior AI/ML Engineer — Build Fraud Detection at Scale (India, Remote), you will design, implement, and refine machine learning systems that detect integrity issues, anomalous behavior, and fraud across large-scale interview data. You will own end-to-end model development, including data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production.

You will collaborate closely with data scientists, backend engineers,



and product stakeholders to translate business requirements into robust detection pipelines and risk signals that support both B2C and B2B use cases. You will be responsible for improving data quality, building scalable algorithms, and continuously iterating on detection strategies to balance trust, fairness, and user experience. This is a full-time remote role based in India, requiring independent ownership, strong communication, and comfort working in a distributed, fast-paced setting.

Qualifications

- Strong foundation in Computer Science and Algorithms, with experience designing efficient, scalable systems for large data volumes.
- Expertise in Pattern Recognition and Neural Networks, including practical experience applying these techniques to anomaly or fraud detection problems.
- Solid knowledge of Statistics and statistical modeling, with the ability to design experiments, interpret results, and quantify model performance and risk.
- Hands-on experience building and deploying ML solutions in production (e.g., Python, PyTorch/TensorFlow, scikit-learn, SQL/NoSQL, cloud platforms such as AWS, GCP, or Azure).
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field, or equivalent practical experience.
- Background working on fraud detection, risk scoring, trust and safety, or integrity systems at scale is highly beneficial.
- Ability to write clean, well-tested code, collaborate in cross-functional teams, and clearly communicate technical concepts to non-technical stakeholders.
- Experience with data pipelines, model monitoring,

📌 Senior AI/ML Engineer — Build Fraud Detection at Scale (India, Remote) (Hyderabad)
🏢 TheInterviews
📍 Hyderabad