ML Engineer
Oolka · Bangalore
This job has been flagged as a Not American
Pay
$15k–235k
Setting
On-site
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Oolka at a glance
Founded in 2023
10 - 50
ML Engineer
Oolka
Bangalore3-7 Years
Apply to Oolka
Apply to Oolka
About Oolka
Oolka serves as a co-branded financial product partner, collaborating with banks, financial institutions, and other entities. Oolka's core mission is to simplify credit management, ensuring transparency and ease of use for consumers.
Whether it's a new to credit or aiming to strengthen the financial profile, navigating personal finance can often be complex. Oolka's platform is designed to empower individuals to maintain control over their finances, providing guidance and solutions to traverse the intricacies of credit management smartly. With Oolka, someone can understand, manage, and enhance the credit profile effectively. From personalized insights to actionable tips, Oolka empowers to make informed decisions, navigate credit challenges, and achieve financial goals with confidence.
Job Description
Function: Data Science and Analysis → Data Science / Machine Learning
Machine Learning
TensorFlow
LLMs
PyTorch
Responsibilities:
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, and 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, quantisation, 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; they own how models get built and improved; they own how models get served in the live product.
Requirements:
3+ 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.
Strong feature engineering and data pipeline experience on structured/tabular data.
Experience with model-serving frameworks (Triton, TorchServe, TensorFlow Serving) and inference optimisation: batching, quantisation, and distillation.
Familiarity with MLOps tooling, experiment tracking, model registries, and CI/CD for models (MLflow, Kubeflow, SageMaker, or equivalent).
ML-Specific Expertise:
Built and shipped models predicting real-world outcomes (risk, churn, ranking, or similar); credit, lending, or fraud experience is a strong plus.
Experience with offline and online model evaluation, held-out test sets, A/B testing, and shadow deployment.
Understanding of LLM fine-tuning approaches (LoRA/PEFT) and when fine-tuning beats prompting.
Comfortable with the bias, fairness, and explainability bar that comes with models touching credit decisions.
Has debugged a model quality regression in production and traced it back to a data or training root cause.
Job posted by
Supriya Gupta
Founder
at Hitya Global
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Listed by Oolka for a position based in the United States. Employers on this board attest they are hiring domestically.