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Engaged Employer

JPMorgan Chase & Co.

Compare

4.1

based on 5.7k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

Top Rated Company for Women - 2024

Top Rated Financial Services Company - 2024

695 JPMorgan Chase & Co. Jobs

ML Engineer Associate

JPMorgan Chase

4.1

based on 5.7k Reviews

2-7 years

Bangalore / Bengaluru

1 vacancy

ML Engineer Associate

JPMorgan Chase & Co.

posted 2d ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Computer Science Python Automation Testing Data Mining Agile Coaching

+ 4 more

Job Description

As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

Executes standard software solutions, design, development, and technical troubleshooting
Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
BS, MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
Proficiency in implementing ML models 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.
Foundational 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 coding knowledge on vector operations using numpy, scipy;
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 of 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

Knowledge of distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
Knowledge of distributed data/feature engineering using popular cloud services like AWS EMR
Knowledge of large scale training, validation and testing experiments
Knowledge of cloud Machine Learning services in AWS i.e. Sagemaker
Knowledge of container technology like Docker, ECS etc.
Knowledge of Kubernetes based platform for Training or Inferencing

Employment Type: Full Time, Permanent

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JPMorgan Chase & Co. Interview Questions & Tips

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(based on 437 JPMorgan Chase & Co. interviews)

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20%

14%

13%

19% candidates got the interview through other sources.

High Confidence

What people at JPMorgan Chase & Co. are saying

3.7

Rating based on 16 Associate Engineer reviews

Anonymous · Software Development in Pune, Maharashtra

Likes

Good Facilities. Stable job.

Dislikes

Culture is a bit negative. Gossiping and biases are having a bad impact on the environment. Despite training on fair conduct, people have found ways to do mistreatments in new ways. Higher management should actively look to solve this.

Read 16 reviews