MLOps Engineer

Posted 2 Days Ago
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Mumbai, Maharashtra, IND
In-Office
Entry level
Financial Services
The Role
Own the end-to-end machine learning lifecycle, including data and feature pipelines, model training, deployment, monitoring, automated retraining, and governance. Build CI/CD workflows with Docker and Kubernetes, scalable PySpark and Airflow ETL pipelines, feature stores, model registries, observability, drift detection, and cost-efficient cloud infrastructure.
Summary Generated by Built In
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.

Profile Summary:
We are looking for a hands-on MLOps Engineer to own the end-to-end ML lifecycle — from data pipelines to production deployment, monitoring and retraining — with a focus on reliability, automation and cost efficiency.

Key Responsibilities
  • Own the full ML lifecycle: data prep, feature pipelines, training, deployment, monitoring and automated retraining.
  • Build and maintain CI/CD pipelines for ML with containerized deployments (Docker, Kubernetes).
  • Design scalable data/ETL workflows (batch & streaming) using PySpark and a workflow orchestrator (e.g., Airflow).
  • Set up a feature store and model registry for reproducible, governed model delivery.
  • Implement model monitoring and drift detection (data drift, concept drift, performance decay) and trigger retraining.
  • Build observability for model and API health — metrics, logs, alerts, dashboards.
  • Optimize cloud/infrastructure costs (autoscaling, spot instances, right-sizing) and track cost per model.
  • Enforce ML governance — versioning, lineage, audit logs, and compliance requirements.
Nice to Have
  • Experience with streaming data (Kafka / Flink).
  • Familiarity with feature stores (e.g., Feast).

Skills Required

  • Hands-on experience owning the end-to-end machine learning lifecycle, including data preparation, training, deployment, monitoring, and retraining.
  • Experience building CI/CD pipelines for machine learning with Docker and Kubernetes.
  • Experience designing batch and streaming ETL workflows using PySpark and a workflow orchestrator such as Airflow.
  • Experience implementing model monitoring, drift detection, observability, versioning, lineage, audit logs, and ML governance.
  • Experience with streaming data technologies such as Kafka or Flink.
  • Familiarity with feature stores such as Feast.
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The Company
Mumbai, Maharashtra
216 Employees
Year Founded: 2015

What We Do

LenDenClub is a leading Peer-to-Peer (P2P) Lending platform that provides an alternate investment opportunity to investors or lenders looking for high returns with creditworthy borrowers looking for short-term personal loans. With 20lakh+ investors on board, LenDenClub has become a one-stop investment solution. LenDenClub’s FMPP has delivered returns above 11% p.a. to its investors in the past 3 months. It is a preferred alternative investment avenue over traditional asset classes. Moreover, it is safeguarded by market volatility and inflation. Therefore, investing with LenDenClub is a great way to diversify your investment portfolio. P2P investment is subject to risks. And investment decisions taken by a lender on the basis of this information are at the discretion of the lender, and LenDenClub does not guarantee that the loan amount will be recovered from the borrower.

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