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JPMorganChase

Applied Artificial Intelligence Machine Learning, Sr Assoc

Posted 2 Days Ago
Hybrid
Fort Worth, TX
Senior level
Hybrid
Fort Worth, TX
Senior level
The role involves developing and deploying AI and machine learning solutions to enhance operations, collaborating with stakeholders, and mentoring junior team members.
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Job Description
In CDAS at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across all of Corporate technology and the supported Corporate Functions. corporate functions, including Compliance, Finance, CAO, Audit and Legal.
As an AI/ML Data Scientist/Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to enhance the efficiency and effectiveness of our operations. You will work closely with cross-functional teams to identify opportunities for automation and process improvement, utilizing your expertise in machine learning and generative AI.
Job Responsibilities:

  • Develop and implement machine learning models and algorithms to solve complex operational challenges.
  • Design and deploy generative AI applications to automate and optimize business processes.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Analyze large datasets to extract actionable insights and drive data-driven decision-making.
  • Ensure the scalability and reliability of AI/ML solutions in a production environment.
  • Stay up-to-date with the latest advancements in AI/ML technologies and integrate them into our operations.
  • Mentor and guide junior team members in AI/ML best practices and methodologies.


Key Skills and Qualifications:

  • Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • Experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker or Bedrock.
  • Familiarity with MLOps practices, encompassing the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Pytorch lightening, or Scikit-learn.
  • Proficiency in programming languages such as Python
  • Proficiency in writing comprehensive test cases, with a strong emphasis on using testing frameworks such as pytest to ensure code quality and reliability.
  • Experience with generative AI models, including GANs, VAEs, or transformers. Experience with Diffusion models is a plus.
  • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS).
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.


Preferred Qualifications:

  • Experience in the financial services industry, particularly within investment banking operations.
  • Experience in developing AI solutions using agentic frameworks.
  • Experience fine-tuning SLMs with approaches like LoRA, QLoRA and DoRA.
  • Experience with prompt optimization frameworks such as AutoPrompt and DSPY to enhance the performance and effectiveness of prompt engineering.
  • Familiarity with distributed computing systems, frameworks and techniques like data sharding and DDP training


About Us
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 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
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

AWS
Bedrock
Docker
Kubernetes
Python
PyTorch
Pytorch Lightening
Sagemaker
Scikit-Learn
TensorFlow

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