Large Language Model (LLM) Engineering Lead - Vice President
New York City, United States
JPMorgan Chase & Co.
JP Morgan Asset Management is expanding Large Language Model (LLM) use cases across Asset Management business areas. We are seeking a software engineer with expertise in python and prior experience in utilizing LLMs.
As a Large Language Model (LLM) Engineering Lead within Asset Management, you will be collaborating closely with various teams to prototype, build, test and deploy a large scale federated LLM platform. You will work with an agile team that will work on building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines.
Job responsibilities
- Hands on involvement in building and operating highly sophisticated LLM driven applications.
- Partnering directly with other technology teams on LLM projects to advise and assist as needed.
- Collaborating with Data Science, Cybersecurity to deliver state of the art ML products.
- Managing and supporting a team of ML and MLOps engineers.
- Collaborating with Devops engineers to plan and deploy data storage and processing systems,
- Executing creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Developing secure high-quality production code, and reviews and debugs code written by others.
Required qualifications, capabilities, and skills
- Degree in a computer science or related discipline.
- Formal training or certification on software engineering concepts and advanced applied experience.
- Advanced python programming skills.
- Proven experience in building and operating scalable ML-driven products.
- Hands on experience and certifications in Azure or AWS (Architect, Big Data, AI/ML).
- Proficiency with cloud technologies like Kubernetes or Airflow.
- Experience working in a highly regulated environment.
- Proficient in all aspects of the Software Development Life Cycle.
- Familiarity with Terraform or IaaC.
- Ability to design and deliver large scale cloud-native architectures.
- Expertise in microservices performance tuning, performance optimization, and real-time applications.
Preferred qualifications, capabilities, and skills
- Experience with financial data and data science.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Azure Banking Big Data Computer Science Data pipelines DevOps Engineering Kubernetes LLMs Machine Learning Microservices MLOps Pipelines Python SDLC Terraform
Perks/benefits: Career development Competitive pay Health care Wellness
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