AI / ML Engineer

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), Python Frameworks, Generative AI, Prompt Engineering, Vector databases,RAG architecture,Agentic library, Lang chain/Lang graph/Autogen,Computer Vision 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 leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to solve complex problems, developing deep learning and neural network architectures, and creating intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align technical solutions with project goals is a key part of daily activities, ensuring innovative and efficient AI-driven outcomes.

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 meet project requirements and quality standards.
• Mentor junior team members to enhance their technical skills and support their professional growth.
• Coordinate with stakeholders to gather requirements and translate them into effective AI models and applications.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Large Language Models (LLMs), Prompt Engineering, Python Frameworks, Generative AI, Vector databases, RAG architecture, Agentic library, Lang chain/Lang graph/Autogen, Computer Vision.
• Strong experience in developing and deploying AI models in cloud or on-premises environments.
• In-depth knowledge of neural networks, deep learning techniques, and their practical applications.
• Ability to optimize AI pipelines for performance, scalability, and maintainability.
• Familiarity with integrating generative AI models into production systems.
• Experience with data preprocessing, model training, evaluation, and fine-tuning for various AI tasks.

Additional Information:

• The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
• This position is based at our PDC3C - SEZ location.
• 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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