Job Description:
Lead GCP AI Data Engineer/Architect
Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai
Key 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.
- 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).
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
