Machine Learning Senior Lead Software Engineer
Machine Learning Senior Lead Software Engineer
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Job Description
Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Machine Learning you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
- Develops secure and high-quality production code and reviews and debugs code written by others
- Drives decisions that influence the product design application functionality and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions ensuring scalability flexibility and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases including real-time predictions big data processing and advanced analytics
- Promote software and model quality integrity and security across the organization
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- 10 plus years of hands-on experience and expertise in software development frameworks and tools such as Java Python and JavaScript
- Deep understanding of distributed systems cloud-native architectures and modern machine learning technologies
- Experience in cloud platforms such as AWS GCP or Azure
- Knowledgeable in machine learning frameworks ML Ops tools and practices
- Strong proficiency in engineering programming languages (e.g. Python Java) and infrastructure as code (e.g. Terraform CloudFormation)
- Proficient in building AI Agents(e.g. LangChain LangGraph AutoGen) integration of tools (e.g. API) and RAG based solutions (e.g. open search)
- Hands-on experience with software development pipeline and orchestration tools (e.g. Jenkins GitLab CI/CD)
- Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
Hands-on experience with big data pipeline orchestration tools and real-time processing frameworks
- Experience working at the code level with a strong understanding of software development practices
- Certified as AWS Solutions Architect Certified Developer or similar certification
Required Experience:
Senior IC
Employment Type
Full-Time
