Machine Learning Engineer (GCP)
cognine· Delivery
About this role
Job Summary
We are looking for an experienced Machine Learning Engineer / MLOps Engineer to design, deploy, and maintain scalable machine learning solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in production ML systems, CI/CD automation, Vertex AI, and model lifecycle management while collaborating closely with cross-functional teams to operationalize machine learning models.
Key Responsibilities:
- Design, build, and maintain training and inference pipelines for storm outage prediction workflows.
- Implement CI/CD, orchestration, and automation for machine learning workflows using Vertex AI and related GCP services.
- Deploy machine learning models into production environments and manage model lifecycle processes, including versioning and rollout support.
- Set up and maintain baseline monitoring for model drift, performance, reliability, and alerting.
- Create scalable, production-ready ML workflows and supporting technical documentation.
- Collaborate with data scientists, engineers, and project stakeholders to operationalize models and align deployment architecture with project needs.
- Support troubleshooting, performance tuning, and continuous improvement of ML platform components.
- Contribute to engineering best practices across code quality, release processes, and environment stability.
Required Qualifications:
- 5–10 years of experience in machine learning engineering, MLOps, or related production ML engineering roles.
- Strong proficiency in Python and experience developing scalable data and ML workflows.
- Hands-on experience with Google Cloud Platform, including Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, or comparable services.
- Experience with GitHub Actions or similar CI/CD tooling.
- Demonstrated experience building CI/CD pipelines and automating ML model deployment and orchestration.
- Experience with model monitoring, observability, and production support for machine learning systems.
- Strong understanding of software engineering best practices, including version control, testing, and documentation.
- Ability to work effectively across distributed teams and communicate clearly with technical and non-technical stakeholders.
Preferred Qualifications:
- Experience supporting forecasting, outage prediction, or other data-intensive operational use cases.
- Familiarity with utility, energy, weather, or geospatial data domains.
- Exposure to model registry, retraining automation, and ML lifecycle governance practices.
- Prior experience working in offshore or globally distributed delivery models.
Frequently Asked Questions
Is the salary disclosed for the Machine Learning Engineer (GCP) position at cognine?
The salary for this Machine Learning Engineer (GCP) role at cognine is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Engineer (GCP) position at cognine located?
This Machine Learning Engineer (GCP) role at cognine is based in Hyderabad, TG, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Engineer (GCP) role at cognine full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Machine Learning Engineer (GCP) role in the Delivery department at cognine.
Which team or department does the Machine Learning Engineer (GCP) at cognine belong to?
This Machine Learning Engineer (GCP) position is part of the Delivery department at cognine. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Engineer (GCP) position at cognine?
Click the "Apply Now" button on this page. You will be redirected to cognine's official application portal hosted on keka where you can submit your application directly.
When was the Machine Learning Engineer (GCP) job at cognine posted?
This Machine Learning Engineer (GCP) position at cognine was posted on Jun 25, 2026. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Engineer (GCP)
cognine
You'll be redirected to cognine's official application page on keka.