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Job Description

Job Title : Software Engineer Consultant / Expert GCP MLOps

Location : Chennai

Experience : 7- 8 Years

Notice Period : Immediate Joiner to 30 Days


Position Summary :


We are seeking a highly skilled Software Engineer Consultant / Expert with strong expertise in Python and end-to-end GCP deployments focused on Machine Learning Operations (MLOps).

This Tech Anchor role demands deep knowledge across full-stack development, ML Ops, and GCP deployment pipelines.


Mandatory Requirements :


- 7+ years of hands-on experience in Python programming.

- 5+ years of experience in :


1. End-to-end GCP deployment.

2. Machine Learning Operations (MLOps).

- Proven full-stack development experience :


1. Frontend development.

2. Backend development.

3. Integration with ML Ops pipelines.

- Strong knowledge of :


1. CI/CD pipelines.

2. Model deployment.

3. Monitoring & scaling ML models in GCP.


Key Responsibilities :


- Design and implement end-to-end GCP pipelines for ML models from data ingestion to deployment and monitoring.

- Develop, test, and maintain high-performance Python applications for scalable machine learning systems.

- Build and optimize CI/CD pipelines tailored for ML workflows.

- Collaborate with data scientists, DevOps, and product teams to operationalize ML models.

- Ensure best practices in cloud security, scalability, and performance monitoring within GCP environments.

- Troubleshoot and maintain deployed ML models in production.

- Serve as a Tech Anchor, mentoring and guiding junior engineers on the team.


Technical Skills :


Programming :


- Python (advanced coding and debugging skills).

Cloud (GCP) :


- Compute Engine, GKE, BigQuery, Cloud Functions.

MLOps Tools :


- Kubeflow, Vertex AI, TensorFlow Extended (TFX), MLflow.


Data Pipelines :


- Apache Airflow / Google Dataflow.

Monitoring :


- Stackdriver, Prometheus, Grafana


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