Lead Software Engineer - AI/ML Chase- Candidate Experience page
Chase- Candidate Experience page
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Karnataka
Skills: Software engineering, data governance, System design, Testing, Computer Science, computer engineering, mathematics, AIML platform design, Machine Learning Operations MLOps, AWS Cloud Services, Databricks ML Lifecycle Development, Realtime Model Serving, Large Language Model LLM Approaches
About Chase- Candidate Experience Page
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you will serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Your role involves leading the design and development of the AI/ML platform, ensuring robustness, scalability, and high performance. You will drive the adoption of best practices in software engineering, machine learning operations (MLOps), and data governance. It is essential to ensure compliance with data privacy and security regulations relevant to AI/ML solutions. Your responsibility includes maintaining consistent code check-ins every sprint to ensure continuous integration and development. Additionally, you will enable the Gen AI platform and implement the Gen AI Use cases, LLM finetuning, and multi-agent orchestration. Effective communication of technical concepts and solutions across all levels of the organization is also a key aspect of this role. To qualify for this position, you should have formal training or certification on software engineering concepts and a minimum of 5 years of applied experience. Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB is required. Experience in Databricks ML lifecycle development is a plus. Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance is essential. Demonstrated prior experience in leading complex projects, including system design, testing, and ensuring operational stability is highly valued. Expertise in computer science, computer engineering, mathematics, or a related technical field is preferred. Preferred qualifications for this role include real-time model serving experience with Seldon, Ray, or AWS SM. An understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG) and agent-based models, is also a plus.,