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Job description
Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions.
Architect design and implement large‑scale migration pipelines from on‑prem systems to Azure Data Lake Storage (ADLS).
GCP Expertise: Strong knowledge of GCP AI/ML services and infrastructure.
AI/ML Frameworks: Proficiency with TensorFlow or PyTorch.
Technical Skills: Experience with Python, data modeling, SQL, and APIs.
Infrastructure as Code: Experience with Terraform for automation.
Experience: Proven ability in delivering AI/ML solutions in a cloud environment
Experience with performing analytics on data for stakeholders.
Experience in ingesting data from different sources using in Azure ADF
Ensure reliable handling of high‑volume unstructured data with performance and cost efficiency.
Implement data quality checks, logging, and traceability to support audit and compliance needs.
Experience in transforming data using Azure Databricks & Delta lake
Architecture & Design: Design enterprise‑grade AI platforms, including RAG (Retrieval‑Augmented Generation) and agentic solutions.
GCP Implementation: Develop AI models using Vertex AI and Gemini, ensuring security and performance.
Pipeline Development: Build and manage data pipelines, model lifecycle, CI/CD, and MLOps/LLMOps with Cloud Build and Vertex AI Pipelines.
Cloud Infrastructure: Utilize GKE, Cloud Run, and BigQuery for robust application deployment.
Strategy & Governance: Implement AI safety features, monitor model performance, and manage costs.
Job Description
Must Have Technical/Functional Skills
Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions.
Architect design and implement large‑scale migration pipelines from on‑prem systems to Azure Data Lake Storage (ADLS).
Architect experience in generating data pipelines in Azure ADF
GCP Expertise: Strong knowledge of GCP AI/ML services and infrastructure.
AI/ML Frameworks: Proficiency with TensorFlow or PyTorch.
Technical Skills: Experience with Python, data modeling, SQL, and APIs.
Infrastructure as Code: Experience with Terraform for automation.
Experience: Proven ability in delivering AI/ML solutions in a cloud environment
Experience with performing analytics on data for stakeholders.
Experience in ingesting data from different sources using in Azure ADF
Ensure reliable handling of high‑volume unstructured data with performance and cost efficiency.
Implement data quality checks, logging, and traceability to support audit and compliance needs.
Experience in transforming data using Azure Databricks & Delta lake
Roles & Responsibilities
Architecture & Design: Design enterprise‑grade AI platforms, including RAG (Retrieval‑Augmented Generation) and agentic solutions.
GCP Implementation: Develop AI models using Vertex AI and Gemini, ensuring security and performance.
Pipeline Development: Build and manage data pipelines, model lifecycle, CI/CD, and MLOps/LLMOps with Cloud Build and Vertex AI Pipelines.
Cloud Infrastructure: Utilize GKE, Cloud Run, and BigQuery for robust application deployment.
Strategy & Governance: Implement AI safety features, monitor model performance, and manage costs.
Salary Range: $120,000 -$140,000 year
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications:
BACHELOR OF COMPUTER SCIENCE
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Worksite address
louisville, KY, 40201, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.