AI / ML Engineer

Posted:
11/17/2024, 10:52:29 PM

Location(s):
Telangana, India ⋅ Hyderabad, Telangana, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

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 : Advance Front End Development NodeJs
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: The Front-End Engineer (FED) focuses on developing and maintaining the user interfaces for the simulation components, ensuring an intuitive and user-friendly experience. Roles & Responsibilities: - Design and develop user interfaces for simulation components. - Collaborate with UX/UI designers to ensure a seamless user experience. - Implement front-end features and functionality using relevant frameworks and tools. - Optimize front-end performance and responsiveness. - Work with back-end engineers to integrate front-end and back-end components. Professional & Technical Skills: - Strong expertise in front-end development (HTML, CSS, JavaScript). - Proficiency with front-end frameworks and libraries (React, Angular, Vue.js). - Experience in building and optimizing user interfaces for simulation systems. - Good understanding of UX/UI principles. - Ability to work collaboratively with cross-functional teams. - Must To Have Skills: Proficiency in Advance Front End Development NodeJs. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - 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 organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, 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 

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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