AI / ML Engineer Full-time

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
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an LLM Engineer, you will develop applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Machine Learning, Natural Language Processing, Deep Learning, Neural Networks, Chatbots to create innovative solutions.

Roles & Responsibilities:
– Design and develop scalable and efficient AI-based applications and systems using Large Language Models, deep learning, neural networks, chatbots, and natural language processing.
– Collaborate with cross-functional teams to identify and prioritize AI use cases, and develop solutions that meet business requirements.
– Implement and maintain AI models and algorithms, and ensure their accuracy, reliability, and scalability.
– Develop and maintain AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems.
– Stay updated with the latest advancements in AI and machine learning, and integrate innovative approaches for sustained competitive advantage.

Professional & Technical Skills:
– Must To Have Skills: Experience & Proficiency in Large Language Models
– Strong understanding of deep learning, neural networks, chatbots, and natural language processing.
– Experience with AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems.
– Proficiency in programming languages such as Python, Java, or C++.
– Experience with cloud platforms such as AWS, Azure, or GCP.
– Experience with containerization technologies such as Docker and Kubernetes.
– Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms
– Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity

Additional Information:
– 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 742,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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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