Description

Machine Learning Data Scientist Specialist to drive the development, deployment, and optimization of machine learning models. The ideal candidate will have expertise in data science, machine learning (ML), and AI model fine-tuning. You will be responsible for training, fine-tuning, evaluating, and integrating language models into various applications/web user interfaces using Infinite AI Training/serving architecture to accelerate our ability to deliver predictive data capabilities in the Technology Governance Risk and Execution Team.

The role also involves applying experience with large language models (LLMs), including prompt engineering and leveraging OpenAI libraries and tools to build, deploy, and monitor intelligent applications and agents.

Job Responsibilities

• Research, develop, and optimize machine learning models for various applications/web user interfaces
• Fine-tune pre-trained models using domain-specific datasets and LLM architectures (e.g., GPT, LLaMA)
• Implement, evaluate, and improve ML pipelines to enhance model performance
• Design efficient training workflows and optimize inference performance
• Work with cross-functional teams to integrate ML and LLM capabilities into products
• Conduct rigorous testing and benchmarking of ML and LLM models
• Utilize OpenAI libraries and frameworks to experiment with and deploy LLM-based solutions

Required qualifications, capabilities, and skills

• Experience with ML algorithms, statistical modelling, and predictive analytics
• Proficiency in data preprocessing, feature engineering, and model evaluation
• Strong coding skills in Python and R, along with experience using relevant libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, caret, and OpenAI SDKs
• Experience in data visualization and exploratory data analysis (EDA)
• Hands-on experience with cloud computing services (AWS, GCP, Azure) and MLOps tools
• Experience in LLM prompt engineering and familiarity with concepts related to LLM agents (e.g., tool use, memory, agent frameworks

Preferred qualifications, capabilities, and skills

• Strong written and verbal communication skills.
• Excellent problem-solving skills with a natural inclination towards data-driven decision-making.
• Ability to work independently and take initiative in a fast-paced environment.
• Strong customer service orientation with the ability to build positive working relationships with stakeholders.
• Teamwork and cooperation - ability to work effectively in a team-oriented environment.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.