Hiring.Camp

AI / ML Engineer

Accenture

·

Today

Location
Bengaluru, BDC11A, India
Type
Full-time
Department
Engineering
Experience
18+ years
Source
Workday

Description

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 : Automation Architecture
Good to have skills : NA
Minimum 18 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 developing sophisticated applications and systems that integrate artificial intelligence tools and cloud-based AI services. The role requires managing both cloud and on-premises application pipelines to ensure solutions are production-ready and scalable. Daily activities may include implementing generative AI models and exploring advanced technologies such as deep learning, neural networks, chatbots, and image processing to create innovative and efficient AI-driven solutions. Collaboration with cross-functional teams to align technical implementations with business goals is also a key aspect of the role.

Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have influencing and Advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Lead the evaluation and integration of emerging AI technologies to enhance existing systems and processes.
- Mentor junior team members to foster skill development and knowledge sharing within the team.
- Collaborate with stakeholders to translate complex business requirements into effective AI solutions.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Automation Architecture.
- Strong experience in designing scalable AI and machine learning system architectures.
- In-depth understanding of cloud platforms and deployment strategies for AI applications.
- Expertise in integrating generative AI models and deep learning frameworks into production environments.
- Ability to optimize AI pipelines for performance, reliability, and maintainability.
- Familiarity with neural networks, chatbot development, and image processing techniques.

Additional Information:
- The candidate should have minimum 18 years of experience in Automation Architecture.
- This position is based at our Bengaluru office.
- 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

Machine LearningDeep Learning

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