CO

cognine

Machine Learning Engineer (GCP)

Hyderabad · Senior

Older listing - lower visibility likelyVerified listingPosted 113d ago

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Skills required

11 listed

Google Cloud Platform (GCP)CI/CDMachine LearningGoogle Vertex AIProject StakeholdersCloud StorageModel MonitoringMLOps (Machine Learning Operations)+3 more

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Job description

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.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.