Applied AI/ML Lead

Aumni

Mumbai

On-site

INR 4,000,000 - 8,000,000

Full time

14 days+

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Job summary

JPMorgan Chase is seeking a Data Scientist Lead in Mumbai to drive prompt-based NLP solutions for financial services. You will lead model design, deployment, and evaluation within a cloud-enabled, agile environment, collaborating with cross-functional teams and communicating results to leadership.

You will build scalable data pipelines, develop APIs, and advance tools for training and optimizing prompt-based models, leveraging AWS/Azure and MLOps practices.

Qualifications

  • Formal training or certification in software engineering with 5+ years applied experience.
  • Experience with prompt design and chatbot applications.
  • Strong Python programming skills with PyTorch or TensorFlow.
  • Experience building data pipelines for structured and unstructured data.
  • Experience in developing APIs and integrating NLP/LLM models into software.
  • Hands-on experience with AWS or Azure for AI/ML deployment and data processing.
  • Excellent problem-solving and ability to communicate with stakeholders.
  • Basic knowledge of deployment processes including Git.
  • Familiarity with LLM orchestration and agentic AI libraries.
  • Hands-on experience with MLOps tools and production integration.

Responsibilities

  • Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain.
  • Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
  • Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
  • Communicate effectively with both technical and non-technical stakeholders.
  • Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
  • Develop and maintain tools and framework for prompt-based model training, evaluation and optimization.
  • Analyze and interpret data to evaluate model performance to identify areas of improvement.

Skills

Prompt design
Chatbot apps
Python
PyTorch
TensorFlow
Data pipelines
APIs
AWS
Azure
GIT
LLM orchestration
MLOps
Stakeholder comms

Education

Software engineering certification

Tools

Python
PyTorch
TensorFlow
AWS
Azure

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Data Scientist Lead at JPMorgan Chase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain
  • Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
  • Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
  • Communicate effectively with both technical and non-technical stakeholders
  • Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
  • Develop and maintain tools and framework for prompt-based model training, evaluation and optimization
  • Analyze and interpret data to evaluate model performance to identify areas of improvement
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience with prompt design and implementation or chatbot application
  • Strong programming skills in Python with experience in PyTorch or TensorFlow
  • Experience building data pipelines for both structured and unstructured data processing.
  • Experience in developing APIs and integrating NLP or LLM models into software applications
  • Hands‑on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
  • Excellent problem‑solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
  • Basic knowledge of deployment processes, including experience with GIT and version control systems
  • Familiarity with LLM orchestration and agentic AI libraries
  • Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment
Preferred qualifications, capabilities, and skills
  • Familiarity with model fine-tuning techniques such as DPO and RLHF.
  • Knowledge of Java, Spark
  • Knowledge of financial products and services including trading, investment and risk management

JPMorganChase, 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.

J.P. Morgan Asset &  Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It’s our mission to efficiently take care of our clients’ wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

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