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AI / ML Engineer
Accenture in India
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Automation architectureEnterprise and solution architectureGenerative AIAgentic AIAzure OpenAILarge language models
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Automation architectureEnterprise and solution architectureGenerative AI
Role Overview
The project role is AI / ML Engineer.
The role develops production-ready applications and systems using AI tools, cloud AI services, and cloud or on-premises application pipelines.
The work may include Generative AI, deep learning, neural networks, chatbots, and image processing.
Key Skills for This Role
Automation architectureEnterprise and solution architectureGenerative AIAgentic AIAzure OpenAILarge language models
Full Job Posting
Project role
The project role is AI / ML Engineer.
The role develops production-ready applications and systems using AI tools, cloud AI services, and cloud or on-premises application pipelines.
The work may include Generative AI, deep learning, neural networks, chatbots, and image processing.
Roles and responsibilities
- Define and lead architecture for enterprise applications, automation platforms, and AI-driven solutions.
- Design and implement Generative AI solutions using Azure OpenAI, vector databases, large language models, and AI agents.
- Develop scalable custom applications, APIs, microservices, and integration solutions aligned with business objectives.
- Lead Python- and Java-based development for automation, analytics, AI/ML, and enterprise workflows.
- Translate business stakeholder requirements into technical designs and implementation roadmaps.
- Drive automation and operational transformation across service management, monitoring, and support functions.
- Establish architecture standards, development best practices, and governance frameworks.
- Lead technology assessments, solution estimations, design reviews, and proof-of-concept initiatives.
- Mentor engineering teams and provide technical leadership throughout the solution lifecycle.
- Drive reusable frameworks, accelerators, automation assets, and platform modernization initiatives.
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