Applied AI/ML Senior Associate

Role overview

Applied AI/ML Senior Associate at JP Morgan

Responsibilities

• You will advise on optimal solutions and provide insights on challenger models.

Required qualifications

• Collaborating with other teams across the firm to attain the mission and vision of the team and the firm Required qualifications, capabilities, and skills
• PhD/Masters in one of the above disciplines with minimum 6 years of relevant experience Promote end to end data science and language solutions in Python, Spark, and SQL with partners to deliver measurable business impact.

Preferred qualifications and skills

• Previous experience in working on Spark, Hive, and SQL Preferred qualifications, capabilities, and skills

Employment details

• Location: Bengaluru [Karnataka] [India]

Application details

• Bring your expertise in building distributed systems and grow your impact through high-visibility work, deep technical leadership, and cross-team collaboration As an Applied AI/ML Senior Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems.
• Experience in the application of AI/ML to a relevant field

Additional role details

• Shape the future of software delivery by building applied artificial intelligence solutions that are secure, reliable, and measurable.
• Join a team that turns advanced methods into production capabilities used by real customers, with strong engineering standards and clear ownership.
• You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem.
• Your responsibilities will include data wrangling, data analysis, and modeling.
• You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm.
• Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.
• Job responsibilities
• Engaging with stakeholders and understanding business requirements
• Developing AI/ML solutions to address impactful business needs
• Working with other team members to productionize end-to-end AI/ML solutions
• Engaging in research and development of innovative relevant solutions
• Documenting developed AI/ML models to stakeholders
• Coaching other AI/ML team members towards both personal and professional success
• Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
• Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
• 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
• Financial service background