
Senior Software Engineering Consultant
4 weeks ago
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:
- End-to-end GCP deployment
- Machine Learning Operations (MLOps)
- Proven full-stack development experience:
- Frontend development
- Backend development
- Integration with ML Ops pipelines
- Strong knowledge of:
- CI/CD pipelines
- Model deployment
- 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
- DevOps:
- GitLab CI/CD, Cloud Build, Jenkins
- Containerization:
- Docker, Kubernetes (GKE)
- Data Pipelines:
- Apache Airflow / Google Dataflow
- Monitoring:
- Stackdriver, Prometheus, Grafana
For Contact :
HR - 8754190861
Drop your CV
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