Accenture·IT Services·11 hours ago
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AI / ML Engineer
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What you'll do
- 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-driven solutions that meet project requirements and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster continuous learning and development.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor and optimize the performance of AI models and systems in production environments.
What they're looking for
- Large Language Models (LLMs)
- 15 years full time education
- Minimum 5 year(s) of experience is required
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure
- Strong understanding of generative AI techniques and their practical applications
- Familiarity with deep learning frameworks and neural network architectures
- Ability to design scalable and maintainable AI pipelines for production environments
- Competence in integrating AI models with various data processing and application workflows
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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 5 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 engineer works on implementing generative AI models and may engage with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of the daily workflow, ensuring innovative and efficient AI-driven outcomes.
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-driven solutions that meet project requirements and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster continuous learning and development.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor and optimize the performance of AI models and systems in production environments.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI techniques and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to design scalable and maintainable AI pipelines for production environments.
- Competence in integrating AI models with various data processing and application workflows.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our M2B - STPI 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 5 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 engineer works on implementing generative AI models and may engage with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of the daily workflow, ensuring innovative and efficient AI-driven outcomes.
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-driven solutions that meet project requirements and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster continuous learning and development.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor and optimize the performance of AI models and systems in production environments.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI techniques and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to design scalable and maintainable AI pipelines for production environments.
- Competence in integrating AI models with various data processing and application workflows.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our M2B - STPI 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.
IT Services
Company
AccentureIT Services
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