Chase ยท 5 months ago
Applied AI ML Engineer-Vice President
383 Madison Ave, New York, NY, 10179, US
Full-time
Onsite
Mid Level
$164K/yr - $260K/yr
4+ years expChase is a global leader in investment banking and financial services. As an Applied AI/ML Engineer, you will design, develop, and deploy AI and machine learning solutions to improve operational efficiency, collaborating with cross-functional teams to automate processes and drive data-driven decision-making.
BankingFinancial Services
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
Qualification
Required
Ph.D. with 2-3 years experience or Masters with 4-5 years experience 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
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
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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