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AI/ML Computational Science Assoc Mgr

Accenture

AI/ML Computational Science Assoc Mgr

Accenture

·

On-site

·

Full-time

·

3d ago

Benefits & Perks

Healthcare

401k

Required Skills

Python

Machine Learning

TensorFlow

PyTorch

Skill required: Tech for Operations

  • Artificial Intelligence (AI)Designation: AI/ML Computational Science Assoc Mgr

Qualifications: Any Graduation/Post Graduate Diploma in Management **Years of Experience:**10 to 14 years Language - Ability: English(Domestic) - Advanced About Accenture 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, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 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
What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.
The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation

  • Understanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively.What are we looking for? •Machine Learning
  • Machine Learning Algorithms
  • Microsoft Azure Machine Learning
  • Python (Programming Language)
  • Python Software Development
  • Ability to work well in a team
  • Written and verbal communication
  • Numerical ability
  • Results orientation
    • 1 CL8 AI Research Scientists

Deep Expertise in Machine Learning & AI Theory:

Algorithm Design & Theoretical Innovation:

Data Proficiency & Synthetic Data Generation:

Responsible AI & Ethical Awareness:

Programming & Tooling:

Proficiency in:
Python, Tensor Flow, Py Torch, and JAX
Cloud-based AI platforms (e.g., Azure OpenAI, AWS Sage Maker)
Version control, containerization (Docker), and MLOps pipelines
The Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.
6.

Collaboration & Communication:

AI Research Scientists often work in interdisciplinary teams and must:

Publish research
Present at conferences
Collaborate with engineers, product teams, and stakeholders
2 CL8 ML Research Engineers:
1.

Mathematical & Statistical Foundations:

Programming & Software Engineering:

Model Development & Experimentation:

MLOps & Deployment:

Data Engineering & Feature Engineering:

ML Research Engineers must be adept at:

  • Data Roles and Responsibilities: •In this role you are required to do analysis and solving of moderately complex problems
  • Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures
  • The person requires understanding of the strategic direction set by senior management as it relates to team goals
  • Primary upward interaction is with direct supervisor or team leads
  • Generally interacts with peers and/or management levels at a client and/or within Accenture
  • The person should require minimal guidance when determining methods and procedures on new assignments
  • Decisions often impact the team in which they reside and occasionally impact other teams
  • Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
  • Please note that this role may require you to work in rotational shifts

Any Graduation,Post Graduate Diploma in Management

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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About Accenture

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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%

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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