AI / ML Engineer - Anomaly & Fraud Detection

Job Title : AI ML Engineer (Hybrid)

Location : Gurgaon

Experience : 5+ Years

Job Description :

We are seeking a highly skilled and detail-oriented AI / ML Engineer with 5+ years of hands-on experience in building machine learning models, with a strong focus on anomaly detection and fraud detection.

The ideal candidate will have practical expertise in Isolation Forest and other anomaly detection algorithms, along with a solid understanding of model interpretability, hyperparameter tuning, and variable distribution analysis.

The role involves working closely with data science and product teams to design and deploy robust ML solutions that can detect irregular or suspicious patterns in data, especially for financial or transactional systems.

Key Responsibilities :

• Design and implement ML models for fraud and anomaly detection, using techniques like Isolation Forest, clustering, and statistical profiling.
• Work with large datasets to extract meaningful patterns and build predictive models.
• Conduct hyperparameter tuning and document tuning strategies and outcomes.
• Perform model interpretability analysis using SHAP, LIME, or similar frameworks, and prepare supporting documentation.
• Analyze variable distribution statistics and feature importance to refine model inputs.
• Collaborate with data engineers and product teams to integrate models into production pipelines.
• Continuously monitor model performance and refine as needed for accuracy, precision, and scalability.

Mandatory Skills :

Preferred Skills :

(ref : hirist.tech)