Back to Browse Jobs
Talent Drive Consultancy
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Pune · Hybrid · 5-8 Yrs · Oct 1
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Role : ML DevOps Engineer
Responsibilities
- Design, build, and maintain scalable MLOps pipelines on GCP.
- Develop and deploy ML models using Vertex AI.
- Automate model training, deployment, monitoring, and retraining workflows.
- Build CI/CD pipelines for ML applications and services.
- Manage containerized deployments using Docker and Kubernetes.
- Implement Infrastructure as Code (Terraform) and cloud automation.
- Monitor model performance, drift, and production health.
- Collaborate with Data Scientists, ML Engineers, and Data Engineers to productionize ML solutions.
- Optimize cloud infrastructure for reliability, scalability, and cost efficiency.
- Ensure security, governance, and best practices across ML platforms.
Qualifications
- Hands-on experience with GenAI/LLMs, RAG, Gemini, or Agentic AI.
- Exposure to BigQuery, Cloud Run, Dataflow, GKE, and Cloud Composer.
- Strong understanding of ML lifecycle, model monitoring, and observability.
- Python, Google Cloud Platform (GCP), Vertex AI, MLOps, Docker & Kubernetes, CI/CD (GitHub Actions, Jenkins, Cloud Build), Terraform, BigQuery, MLflow / Kubeflow, SQL.
Education
- UG: Any Graduate
- GCP Cloud, Vertex Ai, ML DevOps, ML Deployment, Jenkins, DevOps, Development and Deployment, Docker, Ci/Cd, ML Flow, Machine Learning, Kubernetes.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 1 October 2026
- How do I apply for MLOps Engineer/Lead - Vertex AI at Talent Drive Consultancy?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Talent Drive Consultancy may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this MLOps Engineer/Lead - Vertex AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is MLOps Engineer/Lead - Vertex AI remote or on-site in Pune, Maharashtra (+2 others)?
- This listing is marked hybrid with location Pune, Maharashtra (+2 others). Confirm details on the job description before applying.
- What skills matter for this MLOps Engineer/Lead - Vertex AI role at Talent Drive Consultancy?
- This is a lead MLOps Engineer/Lead - Vertex AI role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.