Project Role : AI / ML Engineer
Project 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.
Must have skills : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team in Bengaluru and contribute to cutting-edge AI technology.
Roles & Responsibilities:
– Expected to be a SME with deep knowledge and experience.
– Should have influencing and Advisory skills.
– Engage with multiple teams and responsible for team decisions.
– Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
– Collaborate with cross-functional teams to design, develop, and deploy AI/ML solutions.
– Build and maintain scalable AI models and algorithms.
– Implement and optimize machine learning algorithms for natural language processing tasks.
– Develop and deploy chatbots and virtual assistants using NLP techniques.
– Conduct research and stay up-to-date with the latest advancements in AI/ML technologies.
– Provide technical guidance and mentorship to junior team members.
Professional & Technical Skills:
– Must To Have Skills: Proficiency in Natural Language Processing (NLP).
– Experience with cloud AI services and tools.
– Strong understanding of deep learning and neural networks.
– Hands-on experience with image processing techniques.
– Solid grasp of data preprocessing and feature engineering for NLP tasks.
Additional Information:
– The candidate should have a minimum of 18 years of experience in Natural Language Processing (NLP).
– This position is based at our Bengaluru office.
– A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 742,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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