Join our dynamic Technology & Transformation practice in Bengaluru, where we help clients unlock the full potential of their data. This role focuses on leveraging advanced analytics, cloud technologies, and machine learning to drive data-driven decision-making and create a competitive advantage.

We are seeking a skilled individual to lead platform development and integration initiatives, utilizing cutting-edge Google Cloud Platform (GCP) services to build and deploy robust solutions. You will be instrumental in managing data from diverse sources and transforming it into actionable insights.

Design, build, and deploy sophisticated machine learning models and data pipelines using Google Vertex AI. Develop and manage serverless applications and automation workflows with Google Cloud Functions. Optimize and manage data storage solutions utilizing Google Cloud Storage. Collaborate closely with data scientists and engineers to ensure seamless operationalization of ML models in production environments. Employ tools like AutoML Development Kit (ADK) for efficient model training and tuning. Monitor, troubleshoot, and enhance AI/ML systems for optimal scalability and performance. Integrate and utilize other essential GCP services such as BigQuery, Pub/Sub, and Dataflow for data ingestion and processing. Uphold stringent security, compliance, and best practices across all cloud infrastructure deployments.

A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related technical field is required. Possess a minimum of 3 years of hands-on experience with Google Cloud Platform (GCP) services. Demonstrate strong expertise in Vertex AI, including custom model training, pipeline orchestration, and deployment workflows. Exhibit proficiency in developing serverless microservices using Google Cloud Functions. Have proven experience with Google Cloud Storage for managing substantial datasets. Familiarity with ADK or equivalent ML tooling is essential. Solid programming capabilities in Python, Java, or Go are necessary. Experience with containerization technologies like Docker and Kubernetes, along with CI/CD pipelines, is expected. Possess a foundational understanding of core ML concepts, including various learning paradigms, model evaluation, and tuning techniques. Good knowledge of cloud security principles and IAM policies is important. Excellent analytical, problem-solving, and communication abilities are vital for success in this role.