AI / ML Engineer

Responsibilities

The AI/ML Engineer will develop production-ready applications and systems leveraging AI tools, cloud services, and generative models. They are expected to act as a subject matter expert, collaborating with cross-functional teams to design innovative solutions and facilitate knowledge sharing.

Requirements

Candidates must have a minimum of 5 years of experience in Machine Learning and a 15-year full-time education. Proficiency in deep learning frameworks like TensorFlow or PyTorch and experience with cloud-based AI deployment are required.

Skills

• Machine Learning
• Artificial Intelligence
• Generative AI
• Deep Learning
• Neural Networks
• Cloud AI Services
• TensorFlow
• PyTorch
• Data Preprocessing
• Feature Engineering
• Algorithm Optimization
• Chatbots
• Image Processing
• Application Pipeline
• Production-ready Solutions

About this role

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 : Machine Learning (ML)
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, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on various projects that may include chatbots and image processing, ensuring that all systems are optimized for performance and reliability. Collaboration with cross-functional teams will be essential as you contribute to the design and implementation of innovative AI 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.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor project progress and ensure alignment with strategic goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Experience with cloud-based AI services and deployment.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with data preprocessing and feature engineering techniques.
- Ability to implement and optimize algorithms for various AI applications.

Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.

15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
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About Accenture

Business Consulting and Services · 10,001+ employees · headquartered in Dublin 2