AI Automation Engineer (Kolkata)

AI Automation Engineer (Kolkata)

24 Aug
|
R C W M A S Global
|
Kolkata

24 Aug

R C W M A S Global

Kolkata

As the Lead AI Automation Engineer, you will architect and oversee the deployment of AI-driven automation across data ingestion, transformation, model training, serving, and monitoring pipelines. You’ll ensure all processes meet high standards for data security, privacy, and regulatory compliance.

? Core Responsibilities

Vertex AI pipeline development Build, manage, and scale Vertex AI Pipelines (Kubeflow / Vertex Workbench) to enable reproducible, robust ML/AI workflows.
Data ingestion & orchestration Engineer data ingestion flows from various sources into GCS, BigQuery, or Cloud Storage, using Dataflow, Pub/Sub, Composer (Airflow), and Cloud Functions.
Secure data handling Implement data classification, encryption (at‑rest and in‑transit), IAM governance, and audit logging using Cloud KMS, VPC Service Controls, Cloud DLP.
CI/CD for ML Automate model builds, testing, deployment using Vertex AI Model Registry, Container Registry, Cloud Build, GitOps tools, and open-source CI/CD.
Infrastructure as Code (IaC) Use Terraform, Deployment Manager,



or CDK to define data and AI infrastructure, incorporating least-privilege policies and reproducibility.
Monitoring & observability Deploy logging and monitoring using Cloud Monitoring, Logging, APM, Vertex AI Model Monitoring, and alerting for data drift, resource issues, and SLIs/SLOs.
Security reviews & compliance Conduct threat modeling, risk assessments, align with SOC 2, ISO 27001, HIPAA or GDPR requirements as relevant.
Team leadership & collaboration Mentor junior engineers, define best practices, collaborate cross-functionally with Data Engineering, MLOps, Security, and Product teams.

Must-Have

✅ Qualifications & Skills

0 to 3 years in engineering or MLOps roles, with hands-on experience building production workflows in GCP.
Deep experience with Vertex AI, Kubeflow Pipelines, or Kubeflow on GKE.
Proficiency in Python, Terraform (or comparable IaC tools), SQL.
Solid knowledge of GCP services: BigQuery, Dataflow, Pu

📌 AI Automation Engineer (Kolkata)
🏢 R C W M A S Global
📍 Kolkata

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