AI / ML Engineer
Accenture
- Location
- Onsite (Hyderabad, Telangana)
- Employment
- Full-time
- Level
- Mid Level
Posted 1 day ago
About the Role
Accenture is seeking an AI/ML Engineer to design and build advanced AI applications and production-ready pipelines. The role focuses on integrating generative AI models and optimizing systems to drive digital transformation and create tangible value for global clients.
Skills
Large Language Models
LLMs
Microsoft Agentic AI Architecture
Artificial Intelligence
Machine Learning
Deep Learning
Neural Networks
Chatbots
Image Processing
Cloud AI Services
Application Pipelines
Generative AI
Technical Solutions
System Optimization
Stakeholder Collaboration
Full job details
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 : Large Language Models (LLMs)
Good to have skills : Microsoft Agentic AI Architecture
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing application pipelines that are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative artificial intelligence models into solutions and may work with a variety of AI techniques including deep learning, neural networks, conversational agents, and image processing. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven applications is a key aspect of daily activities.
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 stakeholders to understand requirements and translate them into technical solutions.
- Maintain and optimize AI application pipelines to ensure high performance and reliability.
- Support junior team members by sharing knowledge and assisting with technical challenges.
- Continuously research and evaluate emerging AI technologies to enhance existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong understanding of AI model deployment and integration in cloud and on-premises environments.
- Experience with generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain scalable AI pipelines ensuring production quality.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
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 : Microsoft Agentic AI Architecture
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing application pipelines that are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative artificial intelligence models into solutions and may work with a variety of AI techniques including deep learning, neural networks, conversational agents, and image processing. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven applications is a key aspect of daily activities.
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 stakeholders to understand requirements and translate them into technical solutions.
- Maintain and optimize AI application pipelines to ensure high performance and reliability.
- Support junior team members by sharing knowledge and assisting with technical challenges.
- Continuously research and evaluate emerging AI technologies to enhance existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong understanding of AI model deployment and integration in cloud and on-premises environments.
- Experience with generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain scalable AI pipelines ensuring production quality.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad 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 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.