Jobs
Benefits & Perks
•Learning
Required Skills
Python
NLP
Machine Learning
Deep Learning
SQL
NoSQL
Skill required: Tech for Operations
- Artificial Intelligence (AI)Designation: AI/ML Computational Science Manager
Qualifications: Any Graduation **Years of Experience:**10 – 13 years Language - Ability: English(International) - Intermediate 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 784,000 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? As a part of the AI team, you will be involved in building assets by leveraging the latest technologies and advanced AI techniques. You will be responsible for driving the development of cutting-edge AI solutions using Machine Learning, Deep Learning, NLP, and GenAI-based techniques. You will be involved in building innovative assets that impact the efficiency of business processes and differentiate us from the competition. You will be required to leverage world-class frameworks, employ standard development practices, and design generic products/solutions.
As an AI Lead, you will drive innovation through patenting, creating new assets, and enhancing existing ones. The ideal candidate should be proficient in storytelling and have built multiple techno-commercial solutions involving several AI frameworks and techniques.
________________________________________What are we looking for? • Data Analytics, especially Unstructured Data
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Natural Language Processing (NLP)
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Machine Learning, Deep Learning
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Large Language Models (LLMs) – Cloud and Open Source
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Python (Programming Language)
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Ability to perform under pressure
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Ability to establish strong client relationships
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Ability to manage multiple stakeholders
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Ability to understand business challenges
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Drive Business Impact
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Understanding of design patterns
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Exposure to designing large product architectures
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Agile process / Sprint Planning / Product Management
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DevOps and MLOps (e.g., MLflow, DVC, Kubeflow, Sage Maker Pipelines)
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Cloud Technologies (AWS, Azure, GCP – including Sage Maker, Vertex AI, Azure ML)
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Good understanding of SQL and NoSQL databases
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Strategic Planning
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Passion for staying current with emerging technologies in AI and ML (e.g., Lang Chain, Llama Index, vector databases like Pinecone/FAISS, Hugging Face Transformers, Prompt Engineering, ONNX, FastAPI, Docker, Kubernetes, Tensor Flow Serving, Torch Serve, Arize AI, Why Labs) Roles and Responsibilities: •• Analyze and solve moderate to complex problems using AI
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Identify and build end-to-end AI assets including industrialization of assets
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Drive innovation via patents and publications
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Manage, mentor, and guide teams
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Articulate leadership goals and drive the team to reach their vision
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Follow best practices of AI asset development, including CI/CD, model monitoring, and responsible AI principles
Any Graduation
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
PublicLet 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
L2 · Business Operations L2
0 reports
$55,250
total / year
Base
$22,100
Stock
$27,625
Bonus
$5,525
$38,675
$71,825
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
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