Head of Data & ML Platform

Persolkelly India

15 - 24 years

50 - 100 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

data engineering machine learning data platform

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Data & ML Engineering Leadership
Build and scale ML engineering and data engineering functions.
Establish MLOps frameworks for standardized, production-grade model development and monitoring.
Design and operationalize a centralized decisioning platform that integrates low-code model development, AutoML, rule engines, and workflow automation.
Build modern, scalable data platforms (real-time ingestion, lakehouse, event-driven systems).

Preferred candidate profile

15 ~ 20 years of experience in data engineering, ML engineering, or platform leadership, with at least 8 ~10 years in senior management roles.
Build modern, scalable data platforms (real-time ingestion, lakehouse, event-driven systems).
Proven success in building and scaling large-scale data/ML platforms in fast-paced environments (fintech preferred).
Strong academic foundation with Bachelors/Masters/PhD in Computer Science, Engineering, or quantitative fields from top-tier Indian institutions (IIT/IISc/BITS/NIT).
Deep expertise in data platform design (streaming, lakehouse, event-driven, real-time ingestion).
Hands-on knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI).

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