AI / ML Engineer at Accenture

Coimbatore, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI/MLIndustries

Requirements

Minimum 5 years of experience (overall 7.5-9 years, with 4-7.5 years in Google Cloud Machine Learning Services)
Total 15 years of full-time education
Strong educational background in computer science, mathematics, or related field
Must-have skills: Google Cloud Platform Architecture, CCAI hands-on experience, generative AI understanding
Strong understanding of AI/ML algorithms and techniques
Experience with chatbots, generative AI models, prompt engineering
Experience with cloud or on-prem application pipeline with production-ready quality
Good-to-have skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification

Responsibilities

Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, Dialogue Flow CX, Agent Assist, Conversational AI
Design, develop, and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services
Develop CCAI flows, pages, webhooks, as well as playbooks and integration of tools into playbooks
Creation of agents in Agent Builder and integrating them into end-to-end pipeline using Python
Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing
Ensure proper cloud application pipeline with production-ready quality
Develop applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline

Skills

Google Cloud Platform

CCAI

Generative AI

Vertex AI

Dialogflow CX

Agent Assist

Conversational AI

Deep Learning

Neural Networks

Chatbots

Image Processing

Python

Agent Builder

Webhook

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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