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JPMorgan Chase & Co.
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650 JPMorgan Chase & Co. Jobs
Applied AI ML Associate Sr
7-9 years
₹ 9 - 40L/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.
Hyderabad / Secunderabad
1 vacancy
Applied AI ML Associate Sr
JPMorgan Chase & Co.
posted 8d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
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
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Deploy and maintain infrastructure (eg., Sagemaker Notebooks) for providing an effective model development platform for data scientists and ML engineers that integrates with enterprise data ecosystem. Build, deploy and maintain ingress/egress and feature generation pipelines to calculate input features for model training and inference
- Deploy and maintain infrastructure for batch and real-time model serving, in high throughput, low latency applications, at scale. Identify, deploy and maintain high quality model monitoring and observability tools
- Deploy and maintain infrastructure for compute intensive tasks such as hyperparameter tuning and interpretability and explainability. Partners with product, architecture, and other engineering teams to define scalable and performant technical solutions. Leverages deep technical expertise to design extensible and scalable solutions, and to coach and grow individuals and teams.
- Ensures team executes work according to compliance standards, SLAs, and business requirements, to meet the objectives of an initiative. Anticipates the needs of broader teams and potential dependencies with other teams.
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary. Proactively helps maintain high operational excellence standards for our production systems. Encourages development of technological methods and techniques within team.
- Coaches agility lead and team to effectively leverage Agility practices. Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more languages
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Deep experience and passion in model training, build, deployment and execution ecosystem such as Sagemaker and/or Vertex AI. Experience in monitoring and observability tools to monitor model input/output and features stats
- Operational experience in big data tools such as Spark, EMR, Ray. Experience and interest in ML model architectures linear/logistic regression, Gradient Boosted Trees, Neural Network architectures
- Solid grounding in engineering fundamentals and analytical mindset. Bias for action and iterative development
- Experience with recommendation and personalization systems is a plus.
- Programming languages: Python, some Java. Solid fundamentals and experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc]
- Solid fundamentals and experience with cloud technologies EC2, Sagemaker, IAM. Good knowledge of Databases
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
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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