Quick Summary
- 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.
15 years full time educationSummary: As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies.
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 : Natural Language Processing (NLP)
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 artificial intelligence 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 daily activities, ensuring the delivery of innovative and efficient AI-driven products.
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 development and deployment of AI models ensuring alignment with project requirements and quality standards.
- Facilitate knowledge sharing and mentoring within the team to foster continuous learning and improvement.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor and optimize AI system performance to maintain reliability and efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Natural Language Processing (NLP).
- Experience with designing and implementing AI pipelines in cloud or on-premises environments.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and integrate chatbot solutions and image processing techniques.
- Skilled in troubleshooting and optimizing AI systems for production readiness.
Additional Information:
- The candidate should have minimum 5 years of experience in Natural Language Processing (NLP).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
Visit us at www.accenture.com
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.
Location & Eligibility
About this job
- Posted
- 27 days ago
Listing Details
- Posted
- September 25, 2026
- First seen
- September 30, 2026
- Last seen
- October 19, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- October 22, 2026
Signal breakdown
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