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Consultant | AI / ML | Delhi CEC | Artificial Intelligence & Data
Consulting
Consultant | AI / ML | Delhi CEC | Artificial Intelligence & Data
• Job requisition ID : 105176
• Location: Delhi CEC
• Entity: Deloitte Touche Tohmatsu India LLP
Consultant | AI / ML | Delhi CEC | Artificial Intelligence & Data
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.
Required Skills
- We are seeking experienced Java, Spring Boot, and Microservices with AWS cloud
- Strong software development skills with proficiency in Java, and experience building and maintaining backend services and APIs.
- Hands-on experience designing, developing, and supporting distributed systems with a focus on scalability, reliability, and performance.
- Experience working with AWS services including, but not limited to, DynamoDB, ECS, Lambda, SNS, and SQS.
- Ability to build low-level design (LLD) and contribute to component-level architecture under guidance, including API design, data modeling, and error-handling strategies.
- Experience debugging and resolving production issues across distributed systems, including log analysis, metric analysis, and root cause identification.
- Ability to write unit tests, integration tests, and contribute to automated testing pipelines to ensure high-quality, maintainable code.
- Experience collaborating with cross-functional teams, including product, operations, and dependent technology teams, to understand requirements and deliver technical solutions.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.