AI / ML Engineer
Accenture in India · Pune City, Maharashtra, India
- On site
- Full-time
- ₹2,500,000 / year
- Pune City, Maharashtra, India
Job highlights
- Develop AI/ML applications using cloud services.
- Apply Generative AI and LLMs to solutions.
- Collaborate and lead a technical team.
- Mentor junior engineers and drive decisions.
- Requires 7.5 years LLM experience.
About the role
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
Skills & topics
- AI Engineer
- ML Engineer
- Large Language Models
- Generative AI
- Deep Learning
- Python
- TensorFlow
- PyTorch
- Cloud AI
- Chatbots
- Image Processing
- Natural Language Processing
- AWS
- Azure
- Google Cloud
- Machine Learning
- Artificial Intelligence
- Software Development
- Accenture
- Chennai
How to get hired
- 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.
Technical preparation
Master LLM concepts and applications.,Practice deep learning framework coding.,Build and deploy AI models on cloud.,Understand NLP and chatbot development.
Behavioral questions
Describe a complex AI problem you solved.,How do you mentor junior team members?,Explain a difficult team decision you made.,How do you collaborate with other teams?
Frequently asked questions
- What specific experience is required for the AI / ML Engineer role at Accenture in India?
- For the AI / ML Engineer position at Accenture in India, a minimum of 5 years of overall experience is required. Crucially, a minimum of 7.5 years of specific experience with Large Language Models (LLMs) is mandatory. Additionally, candidates must have completed 15 years of full-time education.
- What are the primary responsibilities of an AI / ML Engineer at Accenture?
- As an AI / ML Engineer at Accenture, your primary responsibilities include developing AI/ML applications and systems using cloud AI services, applying Generative AI models, and working with technologies like deep learning, neural networks, chatbots, and image processing. You will also act as a Subject Matter Expert, collaborate with and manage teams, make key decisions, mentor junior members, and provide solutions to complex problems.
- What technical skills are essential for this AI / ML Engineer position?
- The essential technical skills for this AI / ML Engineer role include a strong proficiency in Large Language Models (LLMs), a solid understanding of deep learning frameworks such as TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, Google Cloud) for AI deployments, and familiarity with natural language processing techniques. The ability to design and implement scalable AI applications is also critical.
- Does Accenture offer opportunities for career growth for AI / ML Engineers?
- Yes, Accenture typically offers significant opportunities for career growth. As an AI / ML Engineer, you can grow into more senior technical roles, leadership positions, or specialize further in areas like Generative AI. Mentoring junior team members and contributing to key decisions are also pathways for professional development within the company.
- What is the educational requirement for the AI / ML Engineer role at Accenture?
- The educational requirement for the AI / ML Engineer role at Accenture is 15 years of full-time education. This typically corresponds to a Bachelor's or Master's degree in a relevant field such as Computer Science, Engineering, or a related discipline.
- How does Accenture utilize Generative AI in its AI / ML Engineer projects?
- Accenture integrates Generative AI models as part of the solutions developed by their AI / ML Engineers. This can involve using GenAI for tasks such as content creation, code generation, data augmentation, or enhancing chatbot capabilities, contributing to more sophisticated and intelligent applications.
- What kind of team environment can an AI / ML Engineer expect at Accenture?
- An AI / ML Engineer at Accenture can expect a collaborative team environment where they are expected to be a Subject Matter Expert, manage and guide teams, and engage with multiple stakeholders. There is a strong emphasis on mentorship and providing solutions across different teams, fostering a culture of shared learning and problem-solving.