AI / ML Engineer at Accenture

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Minimum 3 years of experience in Python (Programming Language)
Proficiency in Python (Programming Language)
Strong understanding of machine learning frameworks such as TensorFlow or PyTorch
Experience in developing and deploying AI models in production environments
Familiarity with data preprocessing and feature engineering techniques
Good to have: Experience with Selenium
15 years full time education

Responsibilities

Perform independently and become a subject matter expert (SME)
Actively participate and contribute in team discussions
Contribute to providing solutions to work-related problems
Assist in the design and development of AI-driven applications and systems
Collaborate with team members to troubleshoot and resolve technical challenges
Develop applications and systems utilizing 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 (may include deep learning, neural networks, chatbots, image processing)
Collaborate with cross-functional teams to design and implement innovative solutions
Analyze data and refine algorithms to ensure optimal functionality and user experience
Stay updated on the latest trends and advancements in artificial intelligence

Skills

Python

Machine Learning

Deep Learning

Neural Networks

GenAI

Cloud AI

Selenium

Natural Language Processing

Image Processing

Chatbots

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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