Position: ML Engineer

Exp: 3+ Years

Working Mode: WFO, 5 Days

Location: Marathahalli-Sarjapur Outer Ring Road, Bellandur, Bangalore, Karnataka 560103.

Job Overview:

We are looking for a highly skilled Machine Learning Engineer – Model Development to build and scale our proprietary AI and machine learning capabilities that power intelligent credit decisioning and debt resolution. In this role, you will own the complete machine learning lifecycle—from designing data pipelines and engineering features to training, fine-tuning, deploying, and continuously improving production-grade ML models.

What You'll Own:
Model Development & Training:
• Build and train proprietary models on Oolka's data — repayment-likelihood scoring, negotiation-outcome
prediction, and credit-risk signals
• Own the full model lifecycle: data collection, feature engineering, training, validation, deployment, and
monitoring
• Fine-tune LLMs and smaller models for domain-specific tasks — structured extraction from credit reports,
negotiation dialogue quality




• Build and maintain the evaluation framework that catches model quality regressions before they ship
• Build feature pipelines from credit bureau, transaction, and repayment data
• Design and operate model serving: batching, quantization, versioning, and rollback for models you own
• Monitor for model drift, degradation, and bias in production, and own the retraining loop
• Partner with the AI Engineering team — you own how models get built and improved; they own how
models get served in the live product.

Technical Requirements:
Must-Have Experience:
• 3-5 years building and shipping ML models in production, not just integrating third-party AI APIs
• Hands-on experience training and fine-tuning models (PyTorch or TensorFlow) — classical ML and/or LLM
fine-tuning
• Robust feature engineering and data pipeline experience on structured/tabular data
• Experience with model serving frameworks (Triton, TorchServe, TensorFlow Serving) and inferen

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