Machine Learning Engineer – GCP Vertex AI

Tasknera

  • Hyderabad, Telangana, India
  • Full-Time
  • First seen 6 Nov 2026

Tasknera is hiring a Machine Learning Engineer – GCP Vertex AI in Hyderabad, Telangana, India. The details below summarise the original listing; applications happen on the original posting, not on GetFirstJob.

What the listing says

  • Work Mode: Onsite – 5 Days/Week
  • Job Overview
  • We are looking for a highly skilled Machine Learning Engineer to join our engineering team in Hyderabad. The ideal candidate will have strong hands-on experience in Machine Learning, Python, GCP Vertex AI, ML deployment, cloud infrastructure, and DevOps practices.
  • You will be responsible for building, deploying, scaling, and maintaining production-grade ML solutions while working closely with data scientists, software engineers, and platform/DevOps teams.
  • Design, develop, deploy, and maintain production-grade Machine Learning solutions.
  • Build and manage ML workflows using GCP Vertex AI.
  • Develop scalable and production-ready applications/services using Python and FastAPI.
  • Implement distributed ML workloads using Ray where required.
  • Build and maintain automated ML/data pipelines using Apache Airflow.
  • Work with SQL and relational databases for data extraction, transformation, and analysis.
  • Automate cloud infrastructure provisioning and management using Terraform.
  • Implement CI/CD, monitoring, deployment, and other DevOps practices for ML applications.

Pay and dates

The listing states pay as: ₹16.8–₹18.0 LPA. Confirm the exact breakdown during the hiring process. The source page does not show a posting date; this role was first seen and checked as open on 6 November 2026.

How to apply

Apply on the listing where the employer published this role: Machine Learning Engineer – GCP Vertex AI at Tasknera. We found this listing via talentoindia.com; it was still open when we checked on 6 November 2026. Viewing the listing is public, but TalentoIndia asks applicants to sign in to apply. If the posting has closed or the link fails, the role may have been filled.

This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.