MLOPS GCP Data Engineer

Infometry India Software

10 - 15 years

25 - 40 Lacs

pune chennai bengaluru

Posted:6 hours ago| Platform:

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Skills Required

mlops gke cluster gcp vertex ai

Work Mode

Work from Office

Job Type

Full Time

Job Description

Location: Bangalore, Chennai, Pune

Design and implement
end-to-end ML pipelines
leveraging GCP services (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage).
Deploy, scale, and manage ML models on
Vertex AI Prediction, GKE, and Cloud Run
.
Enable
LLMOps practices
for deploying, fine-tuning, and monitoring Large Language Models (LLMs).
Implement
CI/CD workflows
for ML models, ensuring reproducibility, automation, and governance.
Manage
feature stores, model versioning, and experiment tracking
using Vertex AI and ML metadata tools.
Monitor ML systems for
model drift, performance degradation, and cost optimization
.
Collaborate with
data engineering and data science teams
to ensure seamless integration of ML pipelines into enterprise systems.
Apply
MLOps best practices
for model security, compliance, and lifecycle management.

Required Skills & Qualifications:

510 years of experience in
MLOps, Data Engineering, or ML Platform Engineering
.
Strong hands-on expertise with
Vertex AI, GKE, Kubernetes, and CI/CD pipelines
.
Experience with
LLMOps
(deploying and managing large language models).
Proficiency in
Python, SQL, and containerization (Docker, Kubernetes)
.
Strong understanding of
ML lifecycle management, model monitoring, and observability
.
Knowledge of
data processing frameworks
(Dataflow, Apache Beam, Airflow/Composer).
Experience with
GCP IAM, networking, and security best practices
.
Preferred:
GCP certifications such as
Google Cloud Machine Learning Engineer (MLE)
or
Professional Data Engineer
.

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