Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer- ML at JPMorgan Chase within Corporate & Investment Bank, Trust & Safety , Payments Technology organization, 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

• Writes advanced level code in Python to build cutting edge AI/ML engineering solutions.
• 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.
• 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.
• Adds to the team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience building low latency, high throughput server side python based software solutions.
• Proficiency with AIM algorithms.
• Advanced hands on experience in Python and or Java programming language(s)
• Practical experience in ML engineering & MDLC
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight.
• Practical cloud native experience one or more public clouds AWS, GCP, MS Azure
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Experience with modern microservices architecture
• Knowledge of Cloud Native Technologies (Docker, Kubernetes, Kafka, etc.).

Preferred qualifications, capabilities, and skills

• Expertise in application, data, and infrastructure architecture disciplines
• Experience with Cassandra or equivalent no-SQL databases
• Experience with Agile development
• Excellent verbal and written communication