Applied AI ML Tech Lead Manager

Were 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 Tech Lead - Manager within the Digital Intelligence team at JPMorganyou 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 strong 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 thatalign 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 Managerleading 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 ones 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.