招聘

Applied Artificial Intelligence & Machine Learning Engineer - Vice President
Mumbai, Maharashtra, India, IN
·
On-site
·
Full-time
·
2mo ago
必备技能
Machine Learning
Are you ready to play a pivotal role in revolutionizing the future of banking? As a valued member of our Commercial & Investment Banking Payments Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance banking operations. Your contributions will be instrumental in transforming the operational dynamics of our Payments teams, directly influencing the management and functionality of our corporate and investment banking services.
As an Applied AIML Engineer within our Corporate and Investment Banking Payments Applied AI/ML team, you will work in close coordination with various cross-functional teams such as Operations, Product, and Technology. Your role will involve designing and implementing AI-promote solutions that boost operational efficiency and foster business innovation. Leveraging your expertise in artificial intelligence and machine learning, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our operations, ensuring we remain at the cutting edge of the financial industry.
Job Responsibilities :
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Developing and Delivering AI Solutions: Write and deliver high-quality code for AI-driven payments initiatives, ensuring robust and efficient solutions that meet business objectives.
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Collaborate Cross - Functionally: Work closely with Operations, Technology, and Product teams to address and solve complex problems, leveraging AI and ML technologies.
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Partnering with Global Team: Collaborate with global team members and leaders to deliver innovative solutions while fostering a culture of respect and inclusivity.
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Reviewing Code and Application Design: Conduct thorough code reviews and design new applications and services with a focus on reusability and scalability.
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Managing Codes end to end: Own and manage the entire code lifecycle, from development through to production deployment, ensuring seamless integration and operation.
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Maintaining Code Practices: Write clean, maintainable, and readable code that adheres to best practices and industry standards.
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Engaging with Stakeholders: Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
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Communicating on Projects: Provide clear and concise updates to project managers and program teams, ensuring transparency and alignment on project progress.
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Estimating Accurately: Deliver clear and realistic time and resource estimates that are critical for effective project planning and delivery.
Testing Comprehensively: Ensure code quality through proper unit test coverage and support both functional and automated testing processes to guarantee reliable and high-performing solutions.
Required qualifications, capabilities and skills :
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Minimum 8 years of industry experience
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BE – Computers / IT or equivalent
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Projects delivery in AIML space for minimum 3 years
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Tech stack – python, pandas, flask, fastAPI, tensorflow, LLMs etc.
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
3.8
职业发展
3.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
薪资范围
41个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2份报告
$188,500
年薪总额
基本工资
$145,000
股票
-
奖金
-
$182,000
$195,000
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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