Applied AI​/ML - Senior Associate

You will join a collaborative Data Science team that builds secure, stable, and scalable AI/ML solutions. You will work with partners across technology and the business to turn ideas into production-ready capabilities that drive measurable outcomes.

As a Applied AI ML Senior Associate at JPMorgan Chase within COGT, you serve as a seasoned member of Data Science team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various corporate technology business functions in support of the firm's business objectives.

• Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment.
• Hands on experience in working on LLMs and agentic frameworks, such as Langchain/Lang Graph and similar technologies.
• Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.
• Hands on experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques.
• Strong experience in natural language processing (NLP) and its applications.
• Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
• Working with other team members to product ionize end-to-end AI/ML solutions.
• Engaging in research and development of innovative relevant solutions.
• Coaching and mentoring other AI/ML team members towards both personal and professional success
• Collaborating with other teams across the firm to attain the mission and vision of the team and the firm. Engaging with stakeholders and understanding business requirements.
• Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.

• Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
• 5+ years of applied experience in data science, machine learning, or related areas.
• Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
• Experience LLM Orchestration and Agentic AI libraries
• Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
• Experience in building AI Agents, Agentic frameworks.
• Experience in building and managing data lakes and data processing workflows using Databricks.
• Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
• Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
• Strong troubleshooting and problem-solving skills.
• Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.

• Understanding of AWS component.
• Experience integrating AI/ML models into data pipelines is a plus.
• Experience with version control (Git) and CI/CD pipelines.
• Experience in PySpark is a plus.
• Financial service background