채용
필수 스킬
Python
AWS
Docker
Kubernetes
PyTorch
TensorFlow
GCP
Azure
Machine Learning
Management Level: 09 - Senior Consultant
Location: Gurgaon/Bangalore/Mumbai
Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALL·E, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes
Good to have skills: Py Torch, Tensor Flow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions
Experience: Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development.
Educational Qualification: Bachelor's or Master’s in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.
Job Summary:
Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.
Roles & Responsibilities:
- Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
- Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
- API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALL·E, Stable Diffusion, GANs) for integration into client systems and applications.
- Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
- Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs.
- Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
- Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models.
- Security and Compliance: Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
- Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
- Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
- Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.
Professional & Technical Skills:
- 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
- Strong proficiency in Python programming and experience with machine learning frameworks(e.g.,Tensor Flow, Py Torch).
- Expertise in API Development and deployment, with hands-on experience with Docker,Kubernetes, and cloud platforms (AWS, GCP, Azure).
- Ability to build and optimize data pipelines for generative AI models.
- Knowledge of security best practices and ensuring compliance with regulatory standards.
- Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.
- Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.
Additional Information:
-
Experience with large-scale data processing and expertise in NLP or computer vision.
-
Contributions to open-source AI/ML projects.
-
Experience with cloud integrations,big data technologies, and performance optimization.
-
Familiarity with security standards and regulatory compliance in AI solutions.
About Our Company | Accenture
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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Accenture 소개

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
직원 수
Dublin
본사 위치
$139B
기업 가치
리뷰
3.6
9개 리뷰
워라밸
2.8
보상
3.2
문화
3.4
커리어
3.7
경영진
3.1
62%
친구에게 추천
장점
Good career growth and learning opportunities
Great culture and work environment
Good compensation and benefits
단점
Office politics and political environment
Long hours and stressful work
Low starting salary below market rate
연봉 정보
21개 데이터
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Business Operations L2
0개 리포트
$55,250
총 연봉
기본급
$22,100
주식
$27,625
보너스
$5,525
$38,675
$71,825
면접 경험
1개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
100%
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
자주 나오는 질문
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
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