Applied AI ML Associate

JPMorgan Chase

Quick summary

Work type
On-site
Location
Bengaluru, Karnataka, IndiaHyderabad, Telangana, India
Posted
1 day ago
Nearby
41 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $203k
$148k most similar roles pay here $261k

This listing doesn't post a salary. Most similar roles pay $167,537–$238,687.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Applied AI ML Associate

Role Posting Log in to save

As an Applied AI Engineer at the Consumer and Community Banking team in Bengaluru, you will join a dynamic agile squad focused on developing secure and scalable technology solutions that integrate generative AI systems with other technologies. Your daily tasks include creating high-quality production code for machine learning models, conducting advanced analytics to optimize these models, and identifying patterns in large datasets to enhance business performance. You will work closely with cross-functional teams to deploy AI/ML solutions effectively across various banking functions. The role requires expertise in Python, TensorFlow, PyTorch, Scikit-learn, Keras, and SQL, along with a strong background in machine learning algorithms such as supervised, unsupervised, and reinforcement learning. Additionally, knowledge of consumer banking products is essential, while proficiency in data engineering practices and tools like Tableau or Alteryx is beneficial.

Skills

Python TensorFlow PyTorch Scikit-learn Keras SQL Tableau Alteryx Machine Learning Data Engineering Supervised Learning Unsupervised Learning Reinforcement Learning

What you'll do

  • Develop and maintain secure, high-quality production code for generative AI systems.
  • Analyze large datasets to identify trends and patterns that improve business performance.
  • Optimize machine learning models for efficient and scalable solutions.
  • Visualize data insights to drive improvements in coding hygiene and system architecture.
  • Collaborate with cross-functional teams to integrate generative AI into broader applications.

What we're looking for

  • 5+ years of applied experience in Python and AI/ML frameworks
  • Strong understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning
  • Experience with model optimization and performance tuning for scalable solutions
  • Proficiency in using AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras
  • Ability to collaborate across teams to integrate generative AI into business processes
  • Formal education or certification in software engineering or AI concepts required
  • Knowledge of consumer banking products is mandatory

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