AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
Engaged Employer
i
This company page is being actively managed by
Ernst & Young Team. If you also belong to the team, you
can get access from
here
Ernst & Young
Compare
All Filters
2211 Ernst & Young Jobs
EY - GDS Consulting - AI and DATA - Gen AI - Manager - Agentic AI
10-15 years
Bangalore / Bengaluru
1 vacancy
EY - GDS Consulting - AI and DATA - Gen AI - Manager - Agentic AI
Ernst & Young
posted 13hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- We are looking for a seasoned Data Science Manager with a minimum of 10 years of experience in Data Science and Machine Learning to lead our AI team. The ideal candidate will have a strong background in NLP, Transformers, Generative AI, Agentic Frameworks, Responsible AI and MLOps, as well as experience in deploying AI solutions across various cloud platforms. This role requires a combination of technical acumen, leadership skills, and a strategic mindset to drive AI initiatives that align with our business objectives.
- Key Responsibilities
- Leadership Direct and support the AI team in developing and implementing advanced AI/ML solutions, ensuring projects align with the companys strategic goals.
- Project Management Oversee the entire lifecycle of AI projects, from ideation to deployment, prioritizing tasks, and managing resources to meet deadlines and deliverables.
- Technical Mastery Utilize expertise in Python, NLP, Transformers, and Generative AI to lead technical innovation and maintain high standards of excellence within the team. Having experience building Gen AI Agent and multi-agents leveraging any of the frameworks like Langgraph, Autogen, CrewAI, swarms , autonomous agent.
- Cloud and MLOps Integration Leverage cloud platforms such as AWS for deployment and incorporate MLOps practices leveraging Sagemaker, bedrock to enhance model development, deployment, and monitoring.
- System Architecture Architect scalable, reliable, and high-performing AI systems that integrate seamlessly with existing infrastructure.
- Stakeholder Collaboration Engage with stakeholders to convert business challenges into analytical questions, fostering a data-driven culture and driving impactful solutions.
- Team Development Mentor team members, promote professional growth, and cultivate a culture of innovation and continuous improvement.
- Ethical AI Implementation Uphold ethical standards in AI practices, ensuring models are fair, transparent, and accountable.
- Effective Communication Develop and deliver clear, concise presentations to communicate complex technical details to diverse audiences, facilitating understanding and buy-in.
Requirements
- Degree in Computer Science, Engineering, or a related technical field at the bachelors or masters level; candidates with a Ph.D. will be given preference.
- At least 10 years of professional experience in the realm of Data Science and Machine Learning, including a leadership role with a documented history of success.
- Expertise in Python programming and experience with AI/ML libraries such as TensorFlow or PyTorch.
- Comprehensive understanding of Natural Language Processing (NLP) and hands-on experience with Transformer architectures.
- Proficient in leveraging AWS cloud platforms for the deployment of AI-driven solutions. Manage AWS cloud infrastructure and services including S3, EC2, Lambda, RDS, Glue, Sagemaker, EMR, and Step Functions to build and deploy scalable machine learning models.
- Solid grasp of MLOps concepts and practical experience with tools such as Docker, Kubernetes, and Git for operational efficiency.
- Capable of architecting and executing CI/CD workflows and managing infrastructure as code using tools like Terraform or AWS CloudFormation.
- Exceptional problem-solving abilities, analytical mindset, and effective communication skills.
- Established expertise with a minimum of 8 years in a technical capacity concentrating on AI/ML applications.
- Deep knowledge of AI/ML frameworks, NLP techniques, and Transformer-based model implementations.
- Proficiency in MLOps methodologies, including familiarity with LLMOps.
- Experience in developing APIs using frameworks such as FastAPI.
- Understanding of container orchestration using AWS EKS and familiarity with infrastructure frameworks like Bedrock.
- Oversee ethical AI practices, ensuring fairness, accountability, and transparency in AI systems.
- Exposure in AI governance, implementing and monitoring responsible AI frameworks.
- Manage risk and compliance with regulatory and ethical standards for AI deployment.
- Exposure ethical decision-making in AI development and operational processes.
Technical Skills
Mandatory
- Experience in end to end GenAI, NLP and AI/ML projects (design to implement to deploy) in banking industry
- Platform experience like Azure/AWS/GCP/Custom
- AI Strategy - Enterprise Patterns and Approach
- LLM Architecture and models, AI/ML models
- Prompt Strategies, Advance RAG Strategies, Fine Tuning Strategies
- Vector DB/Graph DB
- EDA and Data pipelines
- Agentic frameworks like crew, autogen, langgraph, swarms, autonomous agent any Agentic framework
Good to have
- Multi Tenancy concept
- Exposure to Cloud Services, Cloud Storage, Compute Services, Application Services
- Exposure to MLOps, LLMOps
- EIA, Performance Tuning, Cost Optimization (FinOps), CBA
- RAI practice
- Relevant Certifications
- Domain Skills (in any of the below sectors)
Banking
- Retail/Consumer/personal Banking, Commercial/Corporate Banking, Investment Banking
- Regulation and Compliance
- Relevant Certifications
Insurance
- Insurance domain (KYC, Onboarding, Policy, Plans, Premium, Payments, Renewal, Claim)
- Regulation and Compliance
- Relevant Certifications
Employment Type: Full Time, Permanent
Read full job descriptionErnst & Young Interview Questions & Tips
Prepare for Ernst & Young Consultant roles with real interview advice
Top Ernst & Young Consultant Interview Questions
Q1. list tuple difference Dictionary and list comprehension Decorators with example Sequencial non sequencial data types Pandas Create dataframe ... read more
asked in
Consultant interview
Q3. What are the top risks faced by an IT company at enterprise level?
asked in
Consultant interview
What people at Ernst & Young are saying
Rating based on 1k Consultant
reviews
Anonymous · Marketing & Communication
in Hyderabad / Secunderabad
Likes
Your career will be absolutely shelved if you work at EYq India. They don't care about your particular skill set or area of expertise, they just throw you in a client role where both parties would be clueless about and expect you to be the one to perform.
Dislikes
EY India is a goddam narcissist organization.
- Skill development - Bad
+5 more
Consultant salary at Ernst & Young
reported by
12k
employees
₹6
L/yr - ₹20
L/yr
8%
less
than the average Consultant Salary in India
View more details
What Ernst & Young employees are saying about work life
based on 10.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
View more benefits
Compare Ernst & Young with
Deloitte
Compare
PwC
Compare
EY Global Delivery Services ( EY GDS)
Compare
Accenture
Compare
Cognizant
Compare
TCS
Compare
Amazon
Compare
Wipro
Compare
Capgemini
Compare
IBM
Compare
Compare
Microsoft Corporation
Compare
Infosys
Compare
KPMG India
Compare
Bain & Company
Compare
McKinsey & Company
Compare
BCG
Compare
ZS
Compare
Mercer
Compare
Willis Towers Watson
Compare
Similar Jobs for you
Ernst & Young Bangalore / Bengaluru Office Locations
Bangalore Office
Ernst & Young, 3rd Floor, Tower C, RMZ Infinity Municipal No. 3, Survey No 1477/2 & 10, Old Madras Road, Benniganahalli, K.R. Puram
Bangalore
Karnataka 560016
Karnataka 560016
Bengaluru Office
Ernst & Young
Tower C, 3rd Floor, RMZ Infinity
Municipal No. 3, Old Madras Road
Survey No 1477/2 & 10
Benniganahalli, K.R. Puram
560016 Bengaluru
Ernst & Young
UB City, Canberra Block
12th & 13th Floor
No. 24, Vittal Mallya Road
Bengaluru
Bengaluru
560001
560001
EY - GDS Consulting - AI and DATA - Gen AI - Manager - Agentic AI
10-15 Yrs
Bangalore / Bengaluru
Model driven App Development -Manager -F2F (1st March) - Chennai
8-13 Yrs
Chennai
Model driven App Developer /Power platform Developer-F2F -Chennai
3-8 Yrs
Chennai
Resource management/WFM-Associate
1-4 Yrs
Noida, Kolkata, Bangalore / Bengaluru
Analyst - Expatriate Taxation/Individual Taxation
1-6 Yrs
₹ 2 - 5L/yr
New Delhi
Share an Interview