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 integrate artificial intelligence technologies. This role requires managing the deployment of solutions either on cloud platforms or on-premises environments, ensuring they meet production standards. The work often includes leveraging generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects throughout the day.

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 integration of artificial intelligence models into scalable applications.
- Mentor junior team members to support their professional growth and technical development.
- Coordinate cross-functional efforts to align AI initiatives with organizational goals.

Qualified & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and deploying AI applications using cloud-based or on-premises pipelines.
- Strong knowledge of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and image processing solutions.
- Competence in managing production-ready AI systems ensuring reliability and scalability.

Additional Information:

- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).

- This position is based at our PDC2C - SEZ location.

- A 15 years full time education is required.

15 years full time education

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