Applied AI ML Lead Digital

Were seeking top talents for our AI engineering team to develop high-quality machine learning models services and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects focusing on engineering.

As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan you will collaborate with all lines of business and functions to deliver software solutions. You will experiment develop and productionize high-quality machine learning models services and platforms to make a significant impact on technology and business. Additionally you will design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.

Job Responsibilities

• Research develop and implement 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.
• Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces.
• Design experiments establish mathematical intuitions implement algorithms execute test cases validate results and productionize highly performant scalable trustworthy and often explainable solutions.
• Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources.
• 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 Junior Machine Learning associates 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

• 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 Knowledge Graph Computer Vision Speech Recognition Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
• 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 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.
• 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 and Container technology like Docker ECS etc.
• Experience with Kubernetes based platform for Training or Inferencing.