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 : 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 cutting-edge 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.

📌 AI / ML Engineer (Hyderabad)
🏢 Accenture in India
📍 Hyderabad