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JPMorgan Chase & Co.
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644 JPMorgan Chase & Co. Jobs
Applied AI ML Associate Sr - ML Science
3-8 years
₹ 7 - 44L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Bangalore / Bengaluru
1 vacancy
Applied AI ML Associate Sr - ML Science
JPMorgan Chase & Co.
posted 1d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.
Job responsibilities
- Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains.
- Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in our banking products and services.
- Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions.
- Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces.
- Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions.
- Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources.
- Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes.
- Communicate findings and insights to stakeholders through presentations, reports, and visualizations.
- Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations.
- Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm.
- Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
- Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
- Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
- Strong analytical and critical thinking skills for problem solving.
- Excellent written and oral communication along with demonstrated teamwork skills.
- Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences
- Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders.
- A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills
Preferred qualifications, capabilities, and skills
- Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles.
- Experience with distributed data/feature engineering using popular cloud services like AWS EMR
- Experience with large scale training, validation and testing experiments.
- Experience with cloud Machine Learning services in AWS like Sagemaker.
- Experience with Container technology like Docker, ECS etc.
- Experience with Kubernetes based platform for Training or Inferencing.
- Contributions to open-source ML projects can be a plus.
- Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities.
- Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc
Employment Type: Full Time, Permanent
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View answer (1) What people at JPMorgan Chase & Co. are saying
Rating based on 611 Associate
reviews
Anonymous · Software Development
in Bangalore/Bengaluru
Likes
A good banking application knowledge.
Dislikes
People don't like to help and but they do like to create dependency. People are isolated. Toxic culture . Team members are not at all supportive.
Read 611 reviewsAssociate salary at JPMorgan Chase & Co.
reported by
10.7k
employees
with 2-17
years exp.
₹10.1
L/yr - ₹35
L/yr
219%
more
than the average Associate Salary in India
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What JPMorgan Chase & Co. employees are saying about work life
based on 5.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
JPMorgan Chase & Co. Benefits
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Employee Programs Wellness Programs Health Care and Insurance Plans Family Care Retirement Savings Programs
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