Machine Learning Engineer

Oolka · Bangalore

This job has been flagged as a Not American

Pay

$10k–235k

Setting

On-site

IH Instahyre Loading... Find your dream job with Instahyre Unlock limitless career opportunities with lakhs of job openings in 10,000+ top companies. INVITE FRIENDS FIND JOBS LOGIN SIGNUP EMPLOYERS Oolka at a glance Founded in 2023 10 - 50 Machine Learning 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 ML PyTorch TensorFlow machine learning 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. Responsibilities: Build and train proprietary models on Oolka's data for 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, 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 how models get built and improved; they own how models get served in the live product. Requirements: 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. 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, distillation. Familiarity with MLOps tooling: experiment tracking, model registries, 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 Aparimit Paliwal Senior Manager at ConsultBae Similar jobs Machine Learning Engineer Forbes Advisor Bangalore Senior Machine Learning Engineer Parspec Bangalore Senior Machine Learning Engineer Innovaccer Bangalore Sr. Machine Learning Engineer (Forecasting) Innovaccer Bangalore AI / ML Engineer Oolka Bangalore Machine Learning Engineer OneShot AI Bangalore Machine Learning Engineer Hoomanely Bangalore Machine Learning Engineer Hoomanely Bangalore Sn Machine Learning Engineer Matters Bangalore Machine Learning Engineer OptIQ.AI Bangalore Jobs by Location Jobs in Bangalore Jobs in Delhi / NCR Jobs in Hyderabad Jobs in Mumbai Jobs by Function Software Engineering Jobs Marketing Jobs Sales Jobs Internship Jobs For Employers Post Your Jobs Success Stories Product Academy Resources Instahyre Workscape About Privacy Terms Connect Help Center Contact Us

Listed by Oolka for a position based in the United States. Employers on this board attest they are hiring domestically.