Machine Learning Engineer - Sr. Associate

Key Skills

A/B Testing, Amazon Elastic Compute Cloud-EC2, AWS, AWS Glue, AWS Sagemaker, Big Data Technology, C Programming, C++, Data science techniques, Deep Learning, Effective communication skills, HuggingFace, Java Programming, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, Python Programming, Reinforcement Learning, Scikit-learn, TensorFlow, Transformer

Job Description

Job Summary

As a Data Scientist, you will be intricately involved in analysing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will leverage your knowledge of ML toolkit and algorithms to deliver the appropriate solution. You will be a part of an innovative team and work with our product owners, data engineers and software engineers to build new systems. The successful candidate will have a passion for data, ML, Software Development with an emphasis on understanding the data landscape in large and complex organizations. 

Job Responsibilities

• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations. 
• You will collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Work with product owners and software engineers to productionize the models
• Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction

Required Qualifications, Capabilities and skills

• Solid background in NLP, Generative AI and hands-on experience and solid understanding of machine learning and deep learning methods and familiar with large language models
• Required experience with machine learning and deep learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
• Ability to work on tasks and projects through to completion with limited supervision 
• Passion for detail and follow through
• Excellent communication skills and team player

Preferred qualifications, capabilities and skills

• BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics
• At least 3-4 years’ experience in one of the programming languages like Python, Java, C/C++, etc. Preferably Python. At least 2-3 years’ experience in applying data science, ML techniques to solve business problems.
• Experience with A/B experimentation and data/metric-driven product development. Ability to develop and debug production-quality code
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
• Familiarity with continuous integration models and unit test development. Experience with LLMs and Prompt Engineering techniques.

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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the “WELL Health-Safety Rating” for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.

As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm’s current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm’s vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.