- Location
- Hyderabad, HDC3C, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- Workday
Description
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 : Large Language Models (LLMs)
Good to have skills : Python Frameworks
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, your typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. You will work on creating robust pipelines for deploying solutions either on cloud platforms or on-premises, ensuring they meet production standards. Your role may also encompass integrating generative AI models into various projects, as well as exploring areas such as deep learning, neural networks, conversational agents, and image analysis to deliver innovative and effective AI-driven solutions.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand project requirements and deliver AI solutions that align with business goals.
- Continuously research and stay updated with the latest advancements in AI and machine learning to enhance project outcomes.
- Assist junior team members by sharing knowledge and providing guidance to support their professional growth.
- Ensure the quality and scalability of AI applications through rigorous testing and optimization.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Python Frameworks.
- Strong understanding of natural language processing techniques and their practical applications.
- Experience in developing and deploying AI models in cloud or on-premises environments.
- Familiarity with deep learning architectures and neural network design.
- Ability to optimize AI models for performance and scalability in production settings.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our HDC3C - SEZ location.
- 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 approximately 791,000 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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.