Lead GCP AI Data Engineer/Architect at DXC Technology

Bengaluru, Karnataka, India

DXC Technology Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI/MLIndustries

Requirements

  • Proven GCP Experience: 3+ years of hands-on experience designing and implementing solutions on Google Cloud Platform
  • Vertex AI Proficiency: Demonstrated experience with the Vertex AI platform, including building custom models, using AutoML, and deploying endpoints. Solid understanding of the end-to-end ML lifecycle on GCP
  • Data Engineering Expertise: Strong experience in building and orchestrating data pipelines using Cloud Composer and Dataflow
  • BigQuery Mastery: In-depth knowledge of BigQuery, including data modeling, performance tuning, and writing complex SQL queries
  • Programming Skills: High proficiency in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Apache Beam)

Responsibilities

  • AI/ML Solution Development: Design, build, train, and deploy scalable machine learning models and AI agents using Vertex AI, including Generative AI Studio, Model Garden, and custom training pipelines
  • Agentic AI Systems: Develop and manage intelligent agents and multi-agent systems using frameworks like Agentspace and the Google AI Development Kit (ADK) to automate complex workflows and create intelligent applications
  • Data Pipeline Orchestration: Architect, build, and maintain robust, scalable data processing pipelines and workflows using Cloud Composer (Apache Airflow) to handle data ingestion, transformation, and model training schedules
  • Large-Scale Data Processing: Implement efficient data processing jobs and streaming pipelines using Dataflow to handle large-scale datasets for analytics and ML model feeding
  • Data Warehousing & Analytics: Utilize BigQuery for data storage, warehousing, and advanced analytics. Design schemas, optimize queries, and leverage BigQuery ML for in-database machine learning
  • MLOps Implementation: Implement MLOps best practices for model versioning, continuous integration/continuous delivery (CI/CD), monitoring, and governance to ensure the reliability and scalability of our AI solutions

Skills

GCP
Vertex AI
Generative AI
Cloud Composer
Apache Airflow
Dataflow
BigQuery
MLOps
CI/CD
AutoML
Model Garden
Agentspace
Google AI Development Kit
ADK

DXC Technology

IT services for enterprise modernization and management

About DXC Technology

DXC Technology provides IT services to large enterprises, focusing on modernizing their critical systems and operations. The company uses the Enterprise Technology Stack to enhance IT infrastructure, optimize data architectures, and ensure security across various cloud environments, including public, private, and hybrid. DXC operates on a contractual basis, offering consulting, system integration, and managed services to help clients improve their IT operations. What sets DXC apart from competitors is its strong commitment to innovation, sustainability, and corporate responsibility, which has earned it recognition as one of the Most Responsible Companies. The goal of DXC Technology is to be a trusted partner for enterprises, helping them achieve scalable and secure IT solutions while promoting inclusion and diversity within its workforce.

McLean, VirginiaHeadquarters
2017Year Founded
$14.6MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees

Risks

Emerging IT service providers offer cost-effective solutions, threatening DXC's market share.
Rapid technological changes may outpace DXC's innovation, risking service obsolescence.
Economic downturns could reduce IT spending, impacting DXC's long-term contract revenue.

Differentiation

DXC Technology is a Fortune 500 global IT services leader.
The company specializes in modernizing mission-critical systems for large enterprises.
DXC's Enterprise Technology Stack ensures security and scalability across cloud environments.

Upsides

DXC is recognized as a leader in the 2024 Magic Quadrant for Outsourced Digital Workplace Services.
The Quercus AI platform collaboration with Ferrovial and Microsoft enhances DXC's innovation capabilities.
DXC's role in transforming Italy's healthcare sector showcases its expertise in digital transformation.

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