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Machine Learning Engineer - Vice President

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.
Houston, TX, USAPlano, TX, USAWilmington, DE, USA
$164,350 - $260,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Finance
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Description For Machine Learning Engineer - Vice President

JPMorgan Chase & Co. is seeking a Vice President Machine Learning Engineer to join their dynamic team focused on solving exciting business problems in network infrastructure. This role offers an opportunity to apply rigorous scientific methods with ML Engineering and DevOps capabilities to enhance operational efficiency.

As a Vice President Machine Learning Engineer, you will lead the development and implementation of AI/ML solutions to address complex business challenges. You'll work with vast amounts of data, collaborating with cross-functional teams to design, develop, and deploy AI/ML models into production. The role combines hands-on technical work with strategic thinking to drive innovation in the company's AI initiatives.

The position requires expertise in Python programming, deep understanding of AI/ML algorithms, and experience with cloud platforms like AWS. You'll be working with cutting-edge technologies including graph databases, distributed computing frameworks, and modern ML libraries such as TensorFlow and PyTorch. The ideal candidate brings 5+ years of applied AI/ML engineering experience and strong communication skills.

JPMorgan Chase offers a competitive compensation package including a base salary range of $164,350-$260,000, comprehensive healthcare benefits, retirement plans, and professional development opportunities. The company's commitment to innovation, combined with its 200-year history and global presence, provides a unique environment for career growth in the intersection of finance and technology.

This role is perfect for someone who is passionate about applying ML engineering expertise to solve real-world problems, wants to work with enterprise-scale data and infrastructure, and is excited about contributing to one of the world's leading financial institutions. Join our team to help shape the future of financial technology through innovative AI/ML solutions.

Last updated 11 days ago

Responsibilities For Machine Learning Engineer - Vice President

  • Develop and implement AI/ML models and algorithms to solve business problems
  • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
  • Design and develop data pipelines to preprocess and transform data for AI/ML models
  • Train and evaluate AI/ML models using large datasets
  • Optimize and fine-tune AI/ML models for performance and accuracy
  • Deploy AI/ML models into production environments
  • Monitor and maintain deployed models, ensuring their performance and reliability
  • Design graph data models for algorithm optimization
  • Developing and implementing data ETL pipelines within AWS

Requirements For Machine Learning Engineer - Vice President

Python
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Atleast 5 years of demonstrated experience in applied AI/ML engineering
  • Strong programming skills in Python, with experience in developing and maintaining production-level code
  • Experience with designing and implementing graph databases, such as Amazon Neptune, TigerGraph
  • Proficiency in working with large datasets and data preprocessing
  • Solid understanding of AI/ML algorithms and techniques, including deep learning, reinforcement learning, and natural language processing
  • Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras
  • Experience with cloud platforms, such as AWS or Azure, for deploying and scaling AI/ML models
  • Experience with ETL tools such as Airflow, and Jenkins
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

Benefits For Machine Learning Engineer - Vice President

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Education Budget
Parental Leave
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching