Manager (M1) - MLOps
2 days ago
About LenDenClub
LenDenClub is India's largest RBI-registered (NBFC-P2P) Peer-to-Peer (P2P) lending platform. We are a platform for lenders seeking high interest with creditworthy borrowers, bridging the gap left by traditional credit institutions. With over 3 crore users and ₹16,000 crore+ in loans disbursed, we command more than 98% of India's P2P lending market. Our 4.4+ rating on the App Store reflects our commitment to offering a trustworthy and secure lending experience. Powered by cutting-edge technology and a user-first approach, we are setting new benchmarks in India's evolving fintech ecosystem. The progressive approach towards employee benefits has been acknowledged and appreciated and as a result, LenDenClub has been certified as a 'Great Place to Work' successively for four years by the Great Place to Work Institute, Inc.``
About InstaMoney
InstaMoney is our cutting-edge Loan Service Provider (LSP) platform, built to make borrowing fast, flexible, and fully digital for users across India. With over 30 million downloads, InstaMoney offers seamless credit access through a simple and intuitive mobile app. From Personal Loans and Merchant Loans, InstaMoney provides short- to mid-tenure credit solutions.
Why work at LenDenClub
At LenDenClub, we take pride in being the first Peer-to-Peer lending platform to offer ESOP liquidity, and this achievement has allowed us to set a new benchmark. As a LenDenite, you are a part of an enthusiastic and passionate group of individuals who own and love what they do. At LenDenClub, we believe in creating leaders, and you get to work with complete freedom to chase your ultimate career goal without any inhibitions. We remain committed to continuing our journey of innovation and fostering a positive work environment for our team.
Website-
Role Overview
We are seeking an experienced MLOps Engineer to architect, automate, and govern ML model operations across the entire lifecycle at scale.
Responsibilities
- Manage full ML lifecycle: data prep, feature pipelines, training, deployment, monitoring and retraining automation and model governance.
- Design and implement CI/CD pipelines with Docker, Kubernetes/ECS, Terraform/CloudFormation.
- Build scalable ETL/ELT workflows (batch & streaming) using PySpark, Airflow, SQL tuning & partitioning.
- Develop model retraining triggers using monitoring signals (data drift, concept drift, performance decay).
- Implement end-to-end observability for model/API health (Prometheus, Grafana, ELK, CloudWatch).
- Optimize AWS infra costs with autoscaling, spot instances, and efficient storage.
Requirements
- Strong expertise in AWS (S3, EKS/ECS, Lambda, SageMaker, Step Functions).
- Hands-on with Databricks, PySpark, advanced SQL, and workflow orchestration (Airflow/Prefect).
- Proven experience in scalable model serving (TF Serving, TorchServe, KServe).
- Deep understanding of monitoring, retraining strategies and infra governance.
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