AI/ML Developer - Vice President

Jersey City, NJ, United States

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Join the forefront of innovation with the Controls Room Team, the central hub for control-related information across the firm! As part of our mission to enhance the firm's control environment, we provide rapid access to data, advanced analytics, and proactive issue identification. By developing systems that support key operational risk frameworks, we elevate monitoring and management capabilities. Our team standardizes and automates the recording and reporting of operational risks, delivering valuable business risk insights. Be a part of a dynamic team that collaborates across disciplines to swiftly address and remediate control issues, ensuring robust risk and control oversight.

As an AI/ML Model Developer in Control Management, you will data mine to identify insights and build models for production. You will collaborate with other machine learning model developers and work closely with stakeholders to deliver business value. Your role will be pivotal in advancing the analytics and AI/ML program.

Job responsibilities

  • Research data to discover insights and develop innovative ML-based solutions to some of Control Management’s hardest problems.
  • Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis.
  • Develop strong data science capabilities that can be scaled across various business use cases.
  • Collaborate with Tech partners to design and deploy Machine Learning services that can be integrated with strategic systems.
  • Leverage internal reusable components and cutting-edge external tools strategically to advance capability development.
  • Document and convey approaches and results to non-technical audiences, such as business stakeholders and executive leadership.
  • Research and implement state-of-the-art methods and models.

Required qualifications, capabilities and skills

  • Master’s degree/Ph.D. in Data Science, Computer Science or Technology-related discipline
  • Minimum of 5 years of AI/ML model development experience
  • Hands-on experience in building and managing large-scale Data Science and Machine Learning models, including their monitoring and upkeep in production.
  • Hands-on experience with Deep Neural Network packages (examples: PyTorch, Keras/TensorFlow, HuggingFace packages like Transformers, Datasets etc).
  • Strong understanding of various machine learning concepts, including Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Strong ability to develop and debug in Python with extensive experience with machine learning APIs and computational packages (examples: Scikit-Learn, NumPy, SciPy, Pandas, XGBoost etc)
  • Experience in exploring and analyzing data using SQL, including writing queries and extracting insights from large datasets.
  • Experience in developing solution using cloud technologies such as AWS Sagemaker, Azure etc.
  • Able to work both individually and collaboratively in teams in order to achieve project goals.

Preferred qualifications, capabilities, and skills

  • Must be curious, hardworking, detail-oriented, and motivated by complex analytical problems.
  • Able to be results and client-focused and follow the agile development paradigm.
  • Able to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
  • Able to independently research and propose alternatives with some guidance as to problem relevance.
  • Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders.

Applicants must be authorized to work for any employer in the U.S. We are not able to provide immigration sponsorship or take over sponsorship of an employment Visa at this time.

#LI-HYBRID

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs AWS Azure Banking Computer Science Data analysis HuggingFace Keras LLMs Machine Learning ML models NLP NumPy Pandas Python PyTorch Research SageMaker Scikit-learn SciPy SQL TensorFlow Transformers XGBoost

Perks/benefits: Career development Competitive pay Equity / stock options Health care Wellness

Region: North America
Country: United States

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