As an Applied AI/ML Senior Associate within the Commercial & Investment Bank technology team, you will build and fine-tune language models (including LLMs) that detect and categorize complaints and sentiment across client interactions (calls, chats, emails, surveys). You’ll develop complaint taxonomies and multi-label classifiers, build training/validation/monitoring pipelines, deploy models with MLOps/data engineering partners, and ensure solutions meet privacy, regulatory, and model-risk standards.
Job responsibilities
• Build and fine-tune ML/NLP models (including LLMs) to detect and categorize complaints and sentiment within client interactions (calls, chats, emails, surveys) and develop taxonomies and multi-label classification systems for complaint types, severity, and root cause
• Evaluate, fine-tune, and deploy pre-trained language models; conduct prompt engineering and model evaluation as needed along with build data pipelines for training, validation, and continuous model monitoring
• Analyze model outputs to identify drift, bias, or degradation, and implement retraining strategies
• Ensure models meet regulatory, privacy, and model-risk governance standards
• Collaborate with data engineers and MLOps teams to productionize models at scale
• Present findings and model performance metrics to technical and non-technical stakeholders
Required qualifications, capabilities, and skills
• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field and 3+ years of experience building and deploying ML/NLP models in production
• Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) with hands-on experience fine-tuning or working with large language models
• Experience with text classification, NER, sentiment analysis, or topic modeling
• Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, or similar)
• Solid understanding of the ML lifecycle: data prep, training, evaluation, deployment, monitoring
• Strong communication skills and ability to work cross-functionally
Preferred qualifications, capabilities, and skills
- Familiarity with model risk management and regulatory requirements
- Experience with vector databases, retrieval-augmented generation (RAG), or LLM fine-tuning techniques (LoRA, PEFT)
- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)
- Exposure to text classification, NER, sentiment analysis, and cloud ML platforms preferred.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
- 3+ years of experience building and deploying machine learning or NLP models in production
- Strong Python skills
- Experience with PyTorch, TensorFlow, and Hugging Face Transformers
- Hands-on experience fine-tuning or working with large language models
- Experience with text classification, named entity recognition, sentiment analysis, or topic modeling
- Familiarity with cloud machine learning platforms such as AWS SageMaker or Azure ML
- Understanding of the machine learning lifecycle, including data preparation, training, evaluation, deployment, and monitoring
- Strong communication skills and ability to work cross-functionally
- Familiarity with model risk management and regulatory requirements
- Experience with vector databases, retrieval-augmented generation, or LLM fine-tuning techniques such as LoRA and PEFT
- Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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