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 :
Machine Learning (ML), Azure Stack, Python Frameworks, Generative AI, Retrieval-Augmented Generation, Machine Learning Operations
Good to have skills :
NA
Minimum
12
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 tools and cloud-based AI services. The role requires managing the entire application pipeline, ensuring solutions are production-ready and scalable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical solutions with business needs is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven functionalities to meet evolving requirements.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning solutions to address complex challenges.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Azure Stack, Python Frameworks, Generative AI, Microsoft Azure AI foundry, Retrieval-Augmented Generation, Cloud AI Platforms (Azure AI).
- Strong experience in developing and deploying machine learning models in cloud environments.
- In-depth understanding of neural networks, deep learning techniques, and their practical applications.
- Ability to design scalable AI pipelines integrating various data sources and processing frameworks.
- Familiarity with AI service platforms and tools to optimize model performance and deployment.
- Experience in troubleshooting and optimizing AI models for production environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru 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.
Summary
Designs and builds advanced AI and machine learning applications leveraging cloud-based AI services and generative AI models, managing the full application pipeline to production-ready quality. The role requires at least 12 years of experience including 5 years in machine learning, plus 15 years of full-time education. Strong proficiency in Machine Learning (ML), Azure Stack, Python Frameworks, Generative AI, Retrieval-Augmented Generation and Machine Learning Operations is required.
Responsibilities
Lead design and implementation of AI and machine learning solutions; facilitate knowledge sharing and mentorship; coordinate with stakeholders to align AI initiatives with organizational goals; collaborate and manage the team; engage with multiple teams and contribute to key decisions; provide solutions to problems across teams
Qualifications
Minimum 12 years of experience required; minimum 5 years of experience in Machine Learning (ML); 15 years full time education required
Education requirements
15 years full time education
Experience requirements
Minimum 12 year(s) of experience required; minimum 5 years of experience in Machine Learning (ML)