Job Overview
Job TitleAI / ML Engineer
Job TypeFull Time
Offered Salary₹0
LocationPune City, Maharashtra, India
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Job Description
About the Role
As an AI / ML Engineer at Accenture in India, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. You will be involved in creating production-ready application pipelines, both on cloud and on-premises, and will have the opportunity to apply Generative AI models as part of your solutions. Your work may encompass deep learning, neural networks, chatbots, and image processing.
Key Responsibilities
- Serve as a Subject Matter Expert (SME).
- Collaborate with and manage a team to ensure high performance.
- Make critical team decisions and take responsibility for them.
- Engage with multiple teams and contribute to key strategic decisions.
- Provide innovative solutions to complex problems for your immediate team and across multiple teams.
- Mentor junior team members, fostering their skill and knowledge development.
- Continuously evaluate and enhance existing AI models and systems.
Must-Have Skills
- Proficiency in Large Language Models (LLMs).
- Minimum 7.5 years of experience in Large Language Models.
Technical Skills
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Familiarity with natural language processing techniques and tools.
- Ability to design and implement scalable AI applications.
Qualifications
- Minimum 5 years of overall experience is required.
- 15 years of full-time education is required.
Location
This position is based at our Chennai office.
Key skills/competency
- AI / ML Engineer
- Large Language Models
- Generative AI
- Deep Learning
- Neural Networks
- Chatbots
- Image Processing
- Cloud AI Services
- TensorFlow
- PyTorch
How to Get Hired at Accenture in India
- Tailor your resume: Highlight your experience with Large Language Models, Generative AI, and deep learning frameworks like TensorFlow or PyTorch. Quantify your achievements in developing and deploying AI/ML solutions.
- Showcase cloud expertise: Emphasize your experience with AWS, Azure, or Google Cloud for AI solution deployment. Detail projects where you designed and implemented scalable AI applications.
- Demonstrate leadership: Articulate your experience in team collaboration, decision-making, and mentoring junior members. Provide examples of how you've solved complex problems for multiple teams.
- Prepare for technical interviews: Be ready to discuss your in-depth knowledge of LLMs and other AI concepts. Practice coding challenges related to AI/ML development and cloud deployment.
- Understand Accenture's culture: Research Accenture's commitment to innovation, technology, and client success. Align your answers with their values and focus on impactful solutions.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific experience is required for the AI / ML Engineer role at Accenture in India?
02What are the primary responsibilities of an AI / ML Engineer at Accenture?
03What technical skills are essential for this AI / ML Engineer position?
04Does Accenture offer opportunities for career growth for AI / ML Engineers?
05What is the educational requirement for the AI / ML Engineer role at Accenture?
06How does Accenture utilize Generative AI in its AI / ML Engineer projects?
07What kind of team environment can an AI / ML Engineer expect at Accenture?
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