Artificial Intelligence Engineer
Location – Bangalore or Pune
Experience - 5 + Year & Above
Joining Period : Immediate Upto 20 Days Only
Interview Rounds : Online Coding Test - Client Technical Round - Final HR Management Round
Client / Project Details : Permanent With SigniTeq – Deployed To Client Project
Job Responsibilities
- Validation of Artificial Intelligence (AI), Machine Learning (ML) and Generative AI (GenAI) models
- Independently validate AI / ML and GenAI models across supervised, unsupervised, reinforcement learning and foundation model categories.
- Evaluate Gen AI model risk, including hallucination, prompt injection, data leakage, reproducibility, and alignment with Responsible AI principles.
- Assess model robustness, interpretability, fairness, and bias through quantitative and qualitative techniques.
- Also responsible for validating complex statistical and / or algorithmic models used across bank in areas such as, Technology / Risk / Regulatory / Capital / Treasury / InterestRate / EconomicResearch / Fraud / Compliance models etc.
- Ensures model development, monitoring, and validation approaches meet regulatory expectations as needed and internal risk management needs.
- Provides analytical or risk measurement support to help meet both internal corporate and regulatory requirements.
- Develop in-depth knowledge of business unit / function and complex modeling techniques used.
- Clearly communicate the complex issues / findings of the model validation outcomes to stake holders.
- Keep abreast with latest regulatory requirements around model risk management.
- Assesses validation requirements and actively provides solutions to enhance the model validation framework.
- As part of centralized Model Validation team within the bank, expected to work on varied areas of risk management.
Skills
Experience with Machine Learning models (supervised / unsupervised learning, neural networks, classification, clustering, hyperparameter tuning, etc.) desired.Strong knowledge of AI / ML techniques including classification and clustering, gradient boosting, neural networks, NLP models, and foundational models like GPT, BERT, etc.Experience in validating machine learning models for performance, fairness, explainability, and compliance; Familiarity with GenAI risks and controls : hallucination detection, retrieval-augments-generation (RAG), prompt engineering, etc.Good to have some understanding of models used in stress testing, CCAR, CECL, BASEL regulations etc.Excellent oral and written communication skills.Knowledge of risk measurement required to support function.Strong analytical and problem-solving skills.SigniTeq is a New Age Boutique Technology Services Company focused on building technology solutions and augmenting technology resources for clients across India, USA & Europe, We employ some of the best minds in open source and emerging technologies,
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