Core Technology: Machine Learning
Level: 6+ Years
Primary Skills: Google Vertex AI, Python
Secondary Skills: ML Models, Gcp
Open Positions: 2
Job Location: Hyderabad
Work Mode: Remote
Deployment Type: Full Time
Job DescriptionPrimary Skills Required:

Strong understanding of MLOps practices
Hands-on experience in deploying and productionizing ML models
Proficient in Python
Experience with Google Vertex AI
Solid knowledge of machine learning algorithms such as:
XGBoost
Classification models
BigQuery ML (BQML)

Key Responsibilities:

Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions.
Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines.
Work with Data Scientists to productionize ML models and support experimentation workflows.
Implement model monitoring and alerting for drift, performance degradation, and data quality issues.
Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker.
Set up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar.
Ensure proper security, versioning, and compliance across the ML lifecycle.
Maintain documentation, artifacts, and reusable templates for reproducibility and auditability.
Having GCP MLE Certification is Plus.

Job Types: Full-time, Permanent, Fresher

Schedule:

Day shift
Morning shift

Application Question(s):

Do you have the Hands-on experience in deploying and productionizing ML models?

Are you proficient in python?
Do you have experience with Google Vertex AI?
Do you have Solid knowledge of machine learning algorithms such as:

XGBoost
Classification modelsBigQuery ML (BQML) ?

Work Location: In person

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