About Position:

We are looking for an R&D; Developer to join the team responsible for the end-to-end machine learning platform that powers our network analytics anomaly detection capability. The platform spans three interconnected components: a training pipeline that ingests time-series data, trains deep learning and clustering models, and exports them for production serving; an orchestration service that manages the full ML application lifecycle on Kubernetes; and a web-based control panel that gives operations and client-facing teams a unified interface to configure, train, deploy, and monitor models.

Role: ML Engineer
Location: All Persistent Location
Experience: 6 to 12 years
Job Type: Full time Employment

What You'll Do:

The role combines applied machine learning engineering with MLOps platform work.
You will write training code that directly affects production model quality, maintain the orchestration layer that deploys and manages those models across environments, and develop the UI surface through which non-technical users interact with the ML lifecycle.
Design,



implement, and maintain ML training pipelines: data ingestion from columnar databases, dataset preparation, LSTM-based anomaly detection model training, and KMeans-based classifier training.
Log, version, and register trained models using ML flow; export models to ONNX format for downstream inference deployment.
Maintain the Fast API-based orchestration service: per-application YAML configuration storage and update, REST API endpoints for workflow lifecycle management, drift metrics exposure, and config artefact generation.
Integrate with Argo Workflows (via the Hera Python SDK) to trigger, monitor, and manage distributed ML training jobs on Kubernetes.
Manage Helm release deployment and teardown via Ansible Runner, including programmatic chart parameterization from application configuration.
Build and maintain the Streamlit-based ML control panel: screens for application configuration, model trai

📌 Machine Learning Engineer (Pune)
🏢 Persistent Systems
📍 Pune