AI / ML Engineer
Accenture
- Location
- Onsite (Gurugram, Haryana)
- Employment
- Full-time
- Level
- Mid Level
Posted 2 weeks ago
About the role
Accenture is seeking an AI/ML Engineer to design and deploy production-ready AI applications using large language models and generative AI. The role involves collaborating with cross-functional teams to optimize model performance and ensure scalable, robust solutions.
Skills
Large Language Models
Generative AI
Cloud AI Services
AI Application Development
AI Deployment
Deep Learning
Neural Networks
Chatbot Development
Image Processing
Production-Ready AI Pipelines
Model Optimization
On-Premises Infrastructure
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 : NA
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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align AI capabilities with project goals and continuous refinement of AI-driven solutions are key aspects of the daily routine.
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 team members to enhance AI model performance and deployment strategies.
- Assist junior team members by sharing knowledge and providing guidance on AI implementation challenges.
- Continuously monitor and optimize AI applications to maintain high quality and efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain production-ready AI pipelines ensuring robustness and scalability.
- Knowledge of chatbot development and image processing techniques.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our DDC2A - SEZ location.
- 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 : NA
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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align AI capabilities with project goals and continuous refinement of AI-driven solutions are key aspects of the daily routine.
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 team members to enhance AI model performance and deployment strategies.
- Assist junior team members by sharing knowledge and providing guidance on AI implementation challenges.
- Continuously monitor and optimize AI applications to maintain high quality and efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and maintain production-ready AI pipelines ensuring robustness and scalability.
- Knowledge of chatbot development and image processing techniques.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our DDC2A - 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.