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AI / ML Engineer

Accenture

AI / ML Engineer

Accenture

·

On-site

·

Full-time

·

5d ago

Required Skills

Large Language Models

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: NA

Minimum 5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality 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.
  • Develop applications and systems using AI tools and Cloud AI services.
  • Implement deep learning and neural networks in solutions.
  • Create chatbots and work on image processing tasks.
  • Collaborate with team members to provide innovative solutions.
  • Stay updated with the latest AI/ML trends and technologies.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Large Language Models.
  • 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 like linear regression, logistic regression, decision trees, and clustering algorithms.
  • Solid grasp of data munging techniques including data cleaning, transformation, and normalization.

Additional Information:

  • The candidate should have a minimum of 3 years of experience in Large Language Models.
  • 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.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Senior/L5

L2 · Data Scientist L2

0 reports

$14,221

total / year

Base

$5,688

Stock

$7,111

Bonus

$1,422

$9,955

$18,487

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study