AI / ML Engineer

Posted 5 Days Ago
Be an Early Applicant
Hyderabad, Telangana, IND
In-Office
Mid level
Information Technology
The Role
Design and develop production-ready AI and machine learning applications using LLMs, generative AI, cloud or on-premises pipelines, deep learning, NLP, neural networks, chatbots, and image processing. Collaborate with cross-functional teams, research emerging AI advancements, optimize solutions for scalability, test application quality, and provide technical guidance to junior team members while independently contributing as a subject matter expert.
Summary Generated by Built In
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)
Good to have skills : Python Frameworks
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, your typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. You will work on creating robust pipelines for deploying solutions either on cloud platforms or on-premises, ensuring they meet production standards. Your role may also encompass integrating generative AI models into various projects, as well as exploring areas such as deep learning, neural networks, conversational agents, and image analysis to deliver innovative and effective AI-driven solutions.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand project requirements and deliver AI solutions that align with business goals.
- Continuously research and stay updated with the latest advancements in AI and machine learning to enhance project outcomes.
- Assist junior team members by sharing knowledge and providing guidance to support their professional growth.
- Ensure the quality and scalability of AI applications through rigorous testing and optimization.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Python Frameworks.
- Strong understanding of natural language processing techniques and their practical applications.
- Experience in developing and deploying AI models in cloud or on-premises environments.
- Familiarity with deep learning architectures and neural network design.
- Ability to optimize AI models for performance and scalability in production settings.

Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our HDC3C - 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 

Equal Employment Opportunity Statement

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.

Skills Required

  • Minimum 3 years of experience with Large Language Models
  • 15 years of full-time education
  • Proficiency in Large Language Models
  • Strong understanding of natural language processing techniques and applications
  • Experience developing and deploying AI models in cloud or on-premises environments
  • Familiarity with deep learning architectures and neural network design
  • Ability to optimize AI models for production performance and scalability
  • Experience with Python frameworks

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

Accenture Insights

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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