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Day 2
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Bengaluru, Karnataka, India
Live, first seen by us 2 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Engage stakeholders to understand business requirements
Develop AI/ML solutions for impactful business needs
Productionize end-to-end AI/ML solutions with team members
Research and develop innovative AI/ML solutions
Coach other AI/ML team members on career growth
Engages with stakeholders and understanding business requirements
Develops AI/ML solutions to address impactful business needs
Works with other team members to productionize end-to-end AI/ML solutions
Engages in research and development of innovative relevant solutions
Coaches other AI/ML team members towards both personal and professional success
- Financial service background. - PhD in one of the above disciplines.
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Day 2
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong experience in natural language processing (NLP) and its applications. - Solid coding level in Python, with experience in leveraging libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others. - Previous experience in working on Spark, Hive, or SQL.
- Solid coding level in Python, with experience in leveraging libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others. - Previous experience in working on Spark, Hive, or SQL. Preferred Qualifications, capabilities and skills:
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 4 other Applied AI ML Lead jobs there since May 2026. All 4 are still up.
Large employers often post one title for several teams, so these can be separate openings.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As an Applied AI/ML Vice President within Asset & Wealth Management, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions.
Job responsibilities:
Required qualifications, capabilities and skills:
Preferred Qualifications, capabilities and skills:
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Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.