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)

Positive to have skills : NA

Minimum 7.5 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 and cloud-based AI services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques.

Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.

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 models and systems to meet project requirements.
- Facilitate knowledge sharing and mentoring within the team to enhance overall capabilities.
- Coordinate with stakeholders to ensure alignment of AI solutions with business objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Natural Language Processing (NLP).
- Experience with machine learning frameworks and libraries relevant to NLP applications.
- Strong understanding of model deployment and integration within cloud or on-premises environments.
- Familiarity with generative AI models and their practical application in real-world scenarios.
- Ability to optimize AI pipelines for performance, scalability, and maintainability.
- Competence in data preprocessing, feature engineering, and evaluation metrics specific to NLP tasks.

Additional Information
- The candidate should have minimum 7.5 years of experience in Natural Language Processing (NLP).
- This position is based at our Mumbai office.
- A 15 years full time education is required.

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