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Senior Data & AI/ML Engineer - GCP Specialization Lead

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techjays

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Location:
United States , Menlo Park

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are on a bold mission to create the best software services offering in the world to work on startups in nascent industries and greenfield projects to large scale enterprises. As a growth stage company, we combine a depth of capabilities and resources of our leadership with the ambition, culture and agility of a startup.

Job Responsibility:

  • Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage
  • Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines
  • Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry
  • Define and implement data governance, lineage, monitoring, and quality frameworks
  • Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions
  • Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP
  • Contribute to building repeatable solution accelerators in Data & AI/ML
  • Work with the leadership team to align with Google Cloud Partner Program metrics
  • Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning
  • Organize and lead internal GCP AI/ML enablement sessions
  • Represent the company in Google partner ecosystem events, tech talks, and joint GTM engagements

Requirements:

  • GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI
  • ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow
  • Programming: Python & SQL
  • MLOps: CI/CD for ML, Model deployment & monitoring
  • Infrastructure-as-Code: Terraform
  • Data Engineering: ETL/ELT, real-time & batch pipelines
  • AI/ML Tools: TensorFlow, scikit-learn, XGBoost
  • Min Experience: 10+ Years
What we offer:
  • Best in class packages
  • Paid holidays and flexible paid time away
  • Casual dress code & flexible working environment
  • Medical Insurance covering self & family up to 4 lakhs per person

Additional Information:

Job Posted:
December 12, 2025

Work Type:
Remote work
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