
at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 months ago
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**Applied AI/ML Senior Associate** at JPMorgan Chase in Bengaluru, India. Serve as a senior agile team member designing secure, stable AI/ML solutions spanning data collection to analytics. Key responsibilities include engaging stakeholders, developing impactful AI/ML business solutions, and coaching team members. Required skills: 3+ years of applied data science experience, machine learning techniques, NLP, proficient Python coding, Spark, Hive, SQL. Preferred: financial service background, PhD/Masters in relevant discipline.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
Job responsibilities
- Engages with stakeholders and understanding business requirements
- Develops AI/ML solutions to address impactful business needs
- Works with other team members to productionize end-to-end AI/ML solutions
- Engages in research and development of innovative relevant solutions
- Documents developed AI/ML models to stakeholders
- Coaches other AI/ML team members towards both personal and professional success
- Collaborates with other teams across the firm to attain the mission and vision of the team and the firm
Required qualifications, capabilities, and skills
- Formal training or certification on data science concepts and 3+ years applied experience
- Experience in the application of AI/ML to a relevant field.
- 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
- Previous experience in working on Spark, Hive, and SQL
- Financial service background
- PhD/Masters in one of the above disciplines




