At J.P. Morgan, a global leader in financial services, we are committed to building long-lasting partnerships with our clients and creating innovative solutions that drive results. As a Machine Learning Software Engineer, you will join a dynamic and agile team dedicated to developing cutting-edge AI/ML products that will revolutionize the financial sector. If you’re passionate about deploying secure, scalable, and high-impact technology solutions, this is the role for you!
What You’ll Do:
- Collaborate & Innovate: Partner with product managers, data scientists, and ML engineers to define requirements and build AI/ML solutions tailored to business needs.
- State-of-the-Art AI/ML Solutions: Design, develop, and deploy advanced AI/ML/LLM/GenAI models, such as GPT-4, for a variety of business use cases.
- Optimize Models: Fine-tune generative models for specific NLP applications like text generation and summarization, ensuring high-quality output.
- Real-Time Monitoring: Implement mechanisms to continuously track model performance, ensuring reliability and accuracy.
- Advanced Experimentation: Conduct thorough evaluations of models, iterate on architectures, and implement improvements to enhance overall performance.
- Impactful Communication: Translate complex AI/ML/GenAI concepts to both technical and non-technical stakeholders, driving understanding and action.
Required Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Experience: 3+ years of hands-on experience in applied AI/ML engineering, developing and deploying machine learning models in production.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and experience with OpenAI API for model integration.
- Cloud & Infrastructure: Experience with cloud computing platforms (AWS, Azure, Google Cloud), Docker, Kubernetes, and microservices design.
- Machine Learning Fundamentals: Strong knowledge of statistics, classification, regression, deep learning, reinforcement learning, and generative models (e.g., GANs, VAEs).
- Model Optimization: Ability to tackle challenges in AI/ML/LLM/GenAI, optimizing models for NLP applications to ensure high performance.
- Collaboration: Strong interpersonal skills to collaborate with diverse teams and communicate technical insights effectively.
Preferred Qualifications:
- Financial Services Experience: Familiarity with the financial services industry is a plus.
- Expertise in RAG: Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines.
- Generative Model Portfolio: A portfolio showcasing successful NLP projects utilizing OpenAI APIs and advanced prompting strategies like Chain-of-Thoughts, Tree-of-Thoughts, or Graph-of-Thoughts.
Why Join Us?
- Impact & Innovation: Work at the forefront of technology in the financial sector, implementing cutting-edge AI/ML solutions that will shape the future of finance.
- Growth Opportunities: As a part of a global leader, you’ll have opportunities for career advancement, exposure to diverse business areas, and the chance to work with some of the brightest minds in AI and financial technology.
- Comprehensive Benefits: J.P. Morgan offers a competitive total rewards package, including healthcare coverage, tuition reimbursement, financial coaching, mental health support, and much more.
About J.P. Morgan:
J.P. Morgan Chase & Co. is one of the world’s oldest and largest financial institutions. We offer innovative financial solutions and provide services to some of the most prominent corporate, institutional, and government clients. We are committed to diversity and inclusion and provide reasonable accommodations to applicants and employees in need.
