AI / ML Engineer at Accenture

Pune, Maharashtra, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 7.5 years of experience in Automation in Application Maintenance
15 years full time education
Proficiency in Automation in Application Maintenance
Strong understanding of cloud-based AI services and their integration into applications
Experience with developing and deploying machine learning models in production environments
Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Proficient in programming languages commonly used in AI development, such as Python or R

Responsibilities

Act as a Subject Matter Expert (SME), collaborate and manage the team to perform
Be responsible for team decisions
Engage with multiple teams and contribute to key decisions
Provide solutions to problems for immediate team and across multiple teams
Facilitate knowledge sharing and mentoring within the team to enhance overall performance
Analyze project requirements and design scalable AI solutions that align with business objectives
Develop applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality
Apply GenAI models as part of the solution (including but not limited to deep learning, neural networks, chatbots, image processing)

Skills

Generative AI

Deep Learning

Neural Networks

Cloud AI Services

Automation in Application Maintenance

Chatbots

Image Processing

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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