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.
Summary:
As an AI / ML Engineer, you will spend your day designing and developing advanced applications and systems that leverage artificial intelligence technologies. Your work will involve integrating cloud-based AI services and ensuring that application pipelines are production-ready, whether deployed on cloud platforms or on-premises. You will engage in creating solutions that incorporate generative artificial intelligence models and may also explore areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration and innovation will be key aspects of your daily activities as you contribute to cutting-edge AI projects.
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 enhance AI-driven solutions and ensure alignment with project goals.
- Continuously research and evaluate emerging AI technologies to improve existing systems and processes.
- Document technical designs and implementation details to support knowledge sharing and future maintenance.
- Assist in troubleshooting and resolving complex technical issues related to AI applications.
- Support the deployment and monitoring of AI models to maintain optimal performance and reliability.
Professional & Technical Skills:
- Required Skill: Expert proficiency in Generative AI.
- Additional Good To Have Skills: Experience with Python (Programming Language), Natural Language Processing (NLP), Node.js.
- Strong understanding of machine learning principles and generative model architectures.
- Experience with cloud AI platforms and services for scalable deployment.
- Familiarity with deep learning frameworks and neural network design.
- Ability to preprocess and manage large datasets to ensure data quality and model accuracy.
Additional Information:
- The candidate should have minimum 2 years of experience in Generative AI.
- This position is based at our Manila office.
Minimum 2 year(s) of experience is required
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.