Lead Software Engineer/ML

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

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial s...