Accenture Is Hiring Graduates For AI/ML & Data Science Job Role

Accenture Is Hiring Graduates For AI/ML & Data Science Job Role And Every Engineer Is Eligible

Role Description

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

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Accenture Is Hiring Graduates For AI/ML & Data Science Job Role

Job ID	4303265
Job Role	ML / AI & Data Science
Education Qualifications	BE/B.Tech or Other Tech Degree
Salary Package	4 to 15 LPA [ Expected ]
Last apply date	ASAP

Summary

As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients.

Responsibilities

Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots.
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
Implement and optimize NLP algorithms and models to improve performance and accuracy.
Stay up-to-date with the latest advancements in NLP and AI technologies, and integrate innovative approaches for sustained competitive advantage.
Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical.

Required Skills

Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning
Solid understanding of machine learning algorithms and statistical analysis.
Good understanding of machine learning algorithms such as linear regressions, Random Forest , Ada Boost etc.
Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business.

Technology benefits

Experience in implementing various NLP algorithms and models.
Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly.
Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it.
Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization.
Have worked with RNN, LSTM etc. Work exp in creating NLP pipelines for processing large amount of document corpus – Expertise with Python Additional Information.

Soft Skills

The ideal candidate will possess a strong educational background in computer science, mathematics, or a Engineering.
Be a self-starter and a fast learner.
Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges.
Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills.