JOB DESCRIPTION We re seeking top talents for our AI engineering team to develop high-quality machine learning models services and scalable data processing pipelines Candidate should have a strong Machine Learning background with experience in managing a team of machine learning engineers and focus on taking ML models to production As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan you will lead a team of ML engineers with focus on all aspects of ML architecture infra selection model training fine-tuning ablation studies and productization This role requires solid technical expertise leadership skills and the ability to collaborate across teams The ideal candidate has a proven track record in managing teams delivering production grade ML models across cloud and on-device environment and making informed decisions that align with business objectives and deliver tangible value Job Responsibilities Research and develop machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services Collaborate with product managers key business stakeholders engineering and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes Communicate findings and insights to stakeholders through presentations reports and visualizations Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations Mentor juniors in delivering successful projects and building successful careers in the firm Participate and contribute back to firm-wide Machine Learning communities through patenting publications and speaking engagements Required qualifications capabilities and skills Minimum of 3 years of experience as an Engineering Manager leading ML teams MS or PhD degree in Computer Science Statistics Mathematics or Machine learning related field Expert in at least one of the following areas Natural Language Processing Graph Learning Reinforcement Learning Ranking and Recommendation Deep knowledge in Data structures Algorithms Machine Learning Data Mining Information Retrieval Statistics Demonstrated expertise in machine learning frameworks Tensorflow Pytorch pyG Keras MXNet Scikit-Learn Strong programming knowledge of python spark Strong grasp on vector operations using numpy scipy Strong grasp on distributed computation using Multithreading Multi GPUs Dask Ray Polars etc Strong analytical and critical thinking skills for problem solving Excellent written and oral communication along with demonstrated teamwork skills Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers engineers and stakeholders A strong desire to stay updated with the latest advancements in the field and continuously improve one s skills Preferred qualifications capabilities and skills 8 MS or 5 PhD years of relevant experience with atleast 3 years in leadership roles Deep hands-on experience with real-world ML projects either through academic research internships or industry roles Experience with distributed data feature engineering using popular cloud services like AWS EMR Experience with large scale training validation and testing experiments Experience with cloud Machine Learning services in AWS like Sagemaker ABOUT US JPMorganChase one of the oldest financial institutions offers innovative financial solutions to millions of consumers small businesses and many of the world s most prominent corporate institutional and government clients under the J P Morgan and Chase brands Our history spans over 200 years and today we are a leader in investment banking consumer and small business banking commercial banking financial transaction processing and asset management We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success We are an equal opportunity employer and place a high value on diversity and inclusion at our company We do not discriminate on the basis of any protected attribute including race religion color national origin gender sexual orientation gender identity gender expression age marital or veteran status pregnancy or disability or any other basis protected under applicable law We also make reasonable accommodations for applicants and employees religious practices and beliefs as well as mental health or physical disability needs Visit our FAQs for more information about requesting an accommodation ABOUT THE TEAM Our Consumer Community Banking division serves our Chase customers through a range of financial services including personal banking credit cards mortgages auto financing investment advice small business loans and payment processing We re proud to lead the U S in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction The CCB Data Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers The team encompasses a variety of disciplines from data governance and strategy to reporting data science and machine learning We have a strong partnership with Technology which provides cutting edge data and analytics infrastructure The team powers Chase with insights to create the best customer and business outcomes

📌 Applied Ai Ml Lead (Karnataka)
🏢 JPMorganChase
📍 Karnataka