AI and Machine Learning Visionary
1 week ago
We are seeking a highly experienced Applied AI ML Lead to join our Digital Intelligence team at JP Morgan. This role offers an unparalleled opportunity to drive innovation and make a significant impact on our customer products, experiences, and the bank.
About the Role:
- Job Title: Applied AI ML Lead/ Vice President
- Location: Bengaluru, India
- Estimated Salary: ₹40,00,000 - ₹60,00,000 per annum (based on experience)
About the Team:
The Digital Intelligence team is responsible for delivering AI and machine learning-based solutions to drive customer engagement and business growth. As an Applied AI ML Lead, you will collaborate with cross-functional teams to design, implement, and deploy end-to-end machine learning solutions.
About You:
- Expertise: You have a proven track record of managing AI/ML/model development teams and expertise in implementing ML models in areas such as Natural Language Processing, Knowledge Graphs, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Education: You hold a degree from IITs/IIMs/NIT/Tier-1 Schools only, and have a minimum of 12+ years of relevant experience in Computer Science, Data Science, Information Systems, Statistics, Mathematics, or equivalent experience.
About the Benefits:
- Opportunity to Work with State-of-the-Art Technologies: You will have access to the latest advancements in AI and machine learning, enabling you to drive innovation and stay ahead of the curve.
- Collaborative Environment: You will work closely with interdisciplinary teams, including researchers, engineers, and stakeholders, fostering a culture of collaboration and knowledge sharing.
- Career Growth Opportunities: You will have the chance to mentor junior Machine Learning associates, contribute to firm-wide ML communities, and grow your career in a supportive and dynamic environment.
About the Job Responsibilities:
- Design and implement end-to-end machine learning solutions for the production environment to solve complex problems related to personalized financial services in retail and digital banking.
- Work closely with other Machine Learning practitioners and cross-functional teams to translate business challenges into ML-based solution implementation and drive innovation in our banking products and services.
- Collaborate with Machine Learning engineers, product managers, key business stakeholders, engineering, and platform partners to deploy projects that deliver cutting-edge machine learning-driven digital solutions.
- Write code to create machine learning experimentation pipelines and design feature engineering pipelines to push to feature stores.
- Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources.
- Execute experiments and validations at scale, and review results with Lead and Products.
- Create model serving pipelines that meet consumption SLAs and write production-grade code for both training and inference functions.
- Collaborate with MLOps engineers to develop and test training and inference applications under the production architecture blueprint, integrating with upstream and downstream applications, while also registering model artifacts, maintaining code repositories, and preparing for CI/CD execution and post-production monitoring.
- Drive end-to-end system architecture in collaboration with ML, MLOps, and Architecture leads.
- Communicate and collaborate with Platform and Engineering partners to bring in the latest advancements to improve the scale, consistency, reliability, and trustworthiness of the ML solutions.
- Mentor junior Machine Learning associates in delivering successful projects and building careers, while also contributing to firm-wide ML communities through patenting, publications, and speaking engagements.
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