Job Title:  Manager | GCP | Bengaluru | Engineering | Platform Development & Integration

The team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.      

Key Responsibilities:

• Design, develop, and deploy machine learning models and pipelines using Google Vertex AI.
• Develop serverless applications and automation workflows using Google Cloud Functions.
• Manage and optimize data storage using Google Cloud Storage.
• Collaborate with data scientists and engineers to operationalize ML models in production.
• Utilize AutoML Development Kit (ADK) or similar tools for model training and tuning.
• Monitor, troubleshoot, and improve AI/ML systems for scalability and performance.
• Work with other GCP services like BigQuery, Pub/Sub, Dataflow for data ingestion and processing.
• Ensure security, compliance, and best practices in cloud infrastructure.

Required Skills and Qualifications:

• Education - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience with Google Cloud Platform (GCP) services.
• Strong experience with Vertex AI including custom model training, pipeline orchestration, and deployment.
• Proficiency in Google Cloud Functions for building serverless microservices.
• Experience with Google Cloud Storage and managing large datasets.
• Familiarity with ADK (AutoML Development Kit) or equivalent ML tooling.
• Solid programming skills in Python, Java, or Go.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Understanding of ML concepts such as supervised/unsupervised learning, model evaluation, and tuning.
• Good knowledge of cloud security and IAM policies.
• Excellent problem-solving and communication skills.

Preferred Skills:

• Google Cloud Professional Machine Learning Engineer certification.
• Experience with other GCP services like BigQuery, Pub/Sub, Dataflow, AI Platform.
• Familiarity with TensorFlow, PyTorch, or other ML frameworks.
• Experience with Android Development Kit (if ADK refers to Android).
• Knowledge of DevOps practices and infrastructure as code (Terraform, Deployment Manager).

Location & Style of working:

• Bangalore- Hybrid