Applied AI ML Lead

10 hours ago

Bengaluru, Karnataka, India JPMorganChase Full time ₹ 1,00,00,000 - ₹ 2,00,00,000 per year
Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As an Applied AI/ML Vice President within our dynamic team, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions.

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,
  • Coaches other AI/ML team members towards both personal and professional success,
  • Collaborates across teams to attain the mission and vision of the team and the firm

Required Qualifications, Capabilities, and Skills:

  • Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).
  • Experience in the application of AI/ML to a relevant field.
  • Demonstrated practical experience in machine learning techniques, including supervised, unsupervised, and semi-supervised learning.
  • Strong experience in natural language processing (NLP) and its applications.
  • Solid coding skills in programming languages like Python, R, and C++, with experience in leveraging available libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or others for dedicated projects.
  • Previous experience working with Spark, Hive, and SQL.

Preferred Qualifications, Capabilities, and Skills:

  • Financial service background.
  • PhD in one of the above disciplines.

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