AI / ML Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Minimum 12 years of experience in Microsoft Azure OpenAI Service
Proficiency in Microsoft Azure OpenAI Service (must-have skill)
Strong understanding of cloud computing principles and architecture
Experience with machine learning frameworks such as TensorFlow or PyTorch
Familiarity with data preprocessing and feature engineering techniques
Ability to design and implement APIs for AI applications
15 years full-time education

Responsibilities

Act as a Subject Matter Expert (SME)
Collaborate and manage the team to perform effectively
Take responsibility for team decisions
Engage with multiple teams and contribute to key decisions
Provide solutions to problems that apply across multiple teams
Facilitate knowledge sharing and mentorship within the team to enhance overall performance
Continuously evaluate and improve existing AI models and systems to ensure optimal functionality
Develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipelines ensuring production-ready quality
Apply GenAI models as part of solutions, including deep learning, neural networks, chatbots, and image processing

Skills

Microsoft Azure OpenAI Service

Generative AI

Deep Learning

Neural Networks

Chatbots

Image Processing

Cloud Computing

AI Models

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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