Applied Ai Ml Associate

6 months ago

Varthur Bengaluru Karnataka, India JPMorgan Chase & Co Full time

**JOB DESCRIPTION**

We are looking for a Data Scientist to join our technology team to solve exciting business problems in the domain of commercial banking, payments and financial services.

As an Applied AI ML Associate at JPMorgan Chase within the Data Management team in Commercial Bank Technology, you will design and train production grade ML models on large-scale datasets to solve various business use cases for Commercial Bank.

**Job responsibilities**
- Work with Business Partners and Product Owners to translate business problems into appropriate Machine Learning use cases and plan the technical roadmap for short, mid, long-term alignment.
- Formulate right hypothesis and implement algorithms to accept/reject the same
- Baseline ML outcomes and build upon them
- Use statistical methods, machine learning techniques in the context of the data and with the clear intuition of the underlying mathematics and data structure
- Formulate the right optimization target and implement algorithmic methods to achieve the same
- Proficiently implement post deployment model monitoring techniques, drift detections and subsequent management
- Expertly navigate bias and explainability aspects of the algorithms and implement solutions wherever required to meet corresponding needs
- Expertly use Deep Learning frameworks like Attention, Graph Neural Networks, RNN, LSTM etc. on basis of prudent evaluation of the need
- Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
- Build ML models across Public and Private Cloud environments including container-based Kubernetes environments.
- You will collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations

**Required qualifications, capabilities, and skills**
- Advanced Degree in field of Computer Science, Mathematics, Statistics, Econometrics or Data Science or equivalent discipline
- Minimum 2 years of working experience as a hands-on Data Scientist
- Deep expertise with one or many of the following domains - information retrieval, semantic search, named entity resolution, forecasting, anomaly detection, recommendation systems, graph neural networks, large scale search systems etc.
- Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite)
- Deep understanding in foundational theories in Machine Learning is expected - e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, neural network)
- Sufficient understanding on the End-to-End Machine Learning Engineering and DevOps capabilities for deploying models.
- Strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs, Large Language Models and have experience working with massive amounts of data.
- Strong software engineering skills and the ability to build systems that reach JP Morgan scale.

**Preferred qualifications, capabilities, and skills**
- Experience with AWS ML ecosystem (i.e. Sagemaker, EMR etc.) is preferred
- Strong communication skills along with significant experience of managing stakeholder of diverse background is preferred
- Hands on expertise with Python, PySpark, DL frameworks like TensorFlow/PyTorch over GPU is preferred
- Experience with Large Language Models w.r.t. Prompt Engineering and fine tuning will be advantageous.

**ABOUT US**

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

**ABOUT THE TEAM**

Commercial Banking is focused on helping our clients succeed and making a positive difference in our communities. We provide credit and financing, treasury and payment services, international banking and real estate services to clients including cor

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