LLM Full Stack Engineer

Posted:
9/30/2024, 1:37:16 PM

Location(s):
Gurugram, Haryana, India ⋅ Gujarat, India ⋅ Odisha, India ⋅ Nagpur, Maharashtra, India ⋅ Delhi, India ⋅ Ahmedabad, Gujarat, India ⋅ Noida, Uttar Pradesh, India ⋅ New Delhi, Delhi, India ⋅ Bhubaneshwar, Odisha, India ⋅ Hyderabad, Telangana, India ⋅ Chennai, Tamil Nadu, India ⋅ Tamil Nadu, India ⋅ Uttar Pradesh, India ⋅ Telangana, India ⋅ Pune, Maharashtra, India ⋅ Haryana, India ⋅ Rajasthan, India ⋅ Coimbatore, Tamil Nadu, India ⋅ Maharashtra, India ⋅ West Bengal, India ⋅ Jaipur, Rajasthan, India ⋅ Kolkata, West Bengal, India ⋅ Mumbai, Maharashtra, India ⋅ Madhya Pradesh, India ⋅ Indore, Madhya Pradesh, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Project Role : LLM Full Stack Engineer
Project Role Description : Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.
Must have skills : Large Language Models
Good to have skills : Data Science
Minimum 5 year(s) of experience is required
Educational Qualification : Graduate

Summary: As an LLM Full Stack Engineer, you will develop and integrate applications with Large Language Models (LLMs) and other enterprise services. You will leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications. 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. - Collaborate with cross-functional teams to design, develop, and deploy applications with Large Language Models (LLMs). - Integrate front-end and server-side technologies to develop APIs for AI applications. - Implement DevOps practices to ensure efficient deployment and scalability of applications. - Optimize AI applications by leveraging Large Language Models (LLMs) and other enterprise services. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models, Data Science. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - 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: - The candidate should have a minimum of 5 years of experience in Large Language Models. - This position is based at our Gurugram office. - A Graduate degree is required.

Graduate

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 750,000 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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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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