招聘

Gen AI Developer - Assistant Vice President
CHENNAI, Tamil Nādu, India; PUNE, Mahārāshtra, India
·
On-site
·
Full-time
·
3w ago
必备技能
Python
AWS
Docker
Git
PyTorch
TensorFlow
GCP
Azure
Machine Learning
Job Overview:
We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions. In this role, you’ll work closely with senior developers, AI architects, and business stakeholders to deliver impactful AI-driven features and products.
Key Responsibilities:
-
Implement and fine-tune generative AI models under the guidance of senior team members.
-
Contribute to prompt engineering and development of AI-powered workflows.
-
Assist with the deployment, monitoring, and maintenance of AI models in production environments.
-
Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
-
Perform data preprocessing, feature engineering, and API development for AI applications.
-
Participate in code reviews, testing, and documentation to ensure quality and reliability.
-
Stay updated with advancements in GenAI and share relevant learnings with the team.
Required Technical Skills:
-
Hands-on experience with at least one major machine learning framework (Py Torch, Tensor Flow, Keras).
-
Familiarity with LLMs, prompt engineering, and fine-tuning(e.g.,LoRA, QLoRA).
-
Exposure to RAG systems and basic knowledge of hybrid search techniques.
-
Understanding of model deployment and containerization (Docker).
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Proficiency in Python for AI development, data preprocessing, and scripting.
-
Experience with generative AI tools (Lang Chain, Hugging Face, Llama Index) is a plus.
-
Understanding of version control systems (Git).
-
Awareness of AI compliance, data privacy, and responsible AI principles.
Required Soft Skills:
-
Strong teamwork and communication abilities.
-
Willingness to learn new AI/ML technologies and frameworks.
-
Analytical mindset and attention to detail.
-
Openness to feedback and continuous improvement.
Qualifications:
-
Bachelor’s degree or Master’s degree in Computer Science, Data Science, AI, or a related field.
-
8+ years of professional experience in AI/ML development, with exposure to Generative AI.
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Experience delivering AI/ML projects in a collaborative setting.
-
Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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关于Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
员工数
New York City
总部位置
$86B
企业估值
评价
3.7
10条评价
工作生活平衡
4.0
薪酬
2.8
企业文化
4.2
职业发展
3.5
管理层
3.3
68%
推荐给朋友
优点
Good work-life balance
Supportive management and colleagues
Good benefits
缺点
Low/uncompetitive salary and pay
Poor management and lack of direction
Heavy workload and long hours
薪资范围
38个数据点
Mid/L4
Senior/L5
Mid/L4 · BUSINESS ANALYTICS SENIOR ANALYST
3份报告
$117,000
年薪总额
基本工资
$120,800
股票
-
奖金
-
$117,000
$117,000
面试经验
3次面试
难度
3.3
/ 5
时长
14-28周
体验
正面 0%
中性 33%
负面 67%
面试流程
1
Application Review
2
HR Screen
3
Technical Assessment
4
Hiring Manager Interview
5
Final Round Interview
6
Offer Decision
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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