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 : Microsoft Azure AI foundry
Good to have skills : Microsoft Azure OpenAI Service, Microsoft Azure Machine Learning
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 tools and cloud-based AI services. The role requires managing application pipelines that are suitable for production environments, whether deployed on cloud platforms or on-premises. The engineer integrates generative artificial intelligence models into solutions and may work on diverse areas such as deep learning, neural networks, conversational agents, and image analysis. 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 Microsoft Azure AI foundry, Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service.
- Good To Have Skills: Experience with Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service.
- Strong knowledge of cloud computing concepts and deployment strategies.
- Experience in developing and deploying generative AI models and deep learning frameworks.
- Familiarity with neural networks, chatbot development, and image processing techniques.
- Ability to design scalable and maintainable AI solutions within cloud environments.
Additional Information:
- The candidate should have minimum 3 years of experience in Microsoft Azure AI foundry.
- This position is based at our HDC4 - 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 : Microsoft Azure AI foundry
Good to have skills : Microsoft Azure OpenAI Service, Microsoft Azure Machine Learning
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 tools and cloud-based AI services. The role requires managing application pipelines that are suitable for production environments, whether deployed on cloud platforms or on-premises. The engineer integrates generative artificial intelligence models into solutions and may work on diverse areas such as deep learning, neural networks, conversational agents, and image analysis. 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 Microsoft Azure AI foundry, Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service.
- Good To Have Skills: Experience with Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service.
- Strong knowledge of cloud computing concepts and deployment strategies.
- Experience in developing and deploying generative AI models and deep learning frameworks.
- Familiarity with neural networks, chatbot development, and image processing techniques.
- Ability to design scalable and maintainable AI solutions within cloud environments.
Additional Information:
- The candidate should have minimum 3 years of experience in Microsoft Azure AI foundry.
- This position is based at our HDC4 - 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
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