AI / ML Engineer

AI / ML Engineer

About the Role

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.

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 integrating generative AI models into scalable solutions, ensuring that these applications are production-ready and meet quality standards. Daily activities may include working on deep learning architectures, developing neural network models, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining robust application pipelines, whether on cloud platforms or on-premises, are also key aspects of the role.

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-driven solutions that address complex challenges.
• Mentor junior team members to enhance their technical skills and project contributions.
• Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.

Professional & Technical Skills

Must Have Skills:

• Proficiency in Machine Learning (ML), Generative AI, Large Language Models (LLMs), Python Frameworks.
• Strong experience in developing and deploying deep learning models using neural networks.
• Expertise in building scalable AI applications with cloud and on-premises infrastructure.
• Ability to integrate generative AI models into production pipelines effectively.
• Familiarity with chatbot development and image processing techniques.
• Skilled in optimizing machine learning workflows for performance and reliability.

Requirements

• Minimum 7.5 years of experience in Machine Learning (ML)
• 15 years full time education
• Minimum 3 year(s) of experience is required

Location

Based at our Hyderabad office.

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

Equal Employment Opportunity

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.