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Engaged Employer

JPMorgan Chase & Co.

Compare

4.0

based on 6.1k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

Top Rated Company for Women - 2024

Top Rated Financial Services Company - 2024

12 JPMorgan Chase & Co. Lead Software Engineer Jobs

Lead Software Engineer - Machine Learning

JPMorgan Chase

4.0

based on 6.1k Reviews

5-10 years

Hyderabad / Secunderabad

1 vacancy

Lead Software Engineer - Machine Learning

JPMorgan Chase & Co.

posted 4d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Artificial Intelligence Automation Testing Machine Learning Financial Services

+ 4 more

Job Description

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to 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
Good experience of various machine learning algorithms, including supervised and unsupervised learning, neural networks and reinforcement learning
Solid experience with Python, SQL, CI/CD pipeline, Github, AWS or Azure or GCP required
End-to-end working knowledge on how a machine learning product is built
Familiarity with MLOPS and components in MLOPS ecosystem
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s)
Proficiency in automation and continuous delivery methods
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning, mobile, etc)
Practical cloud native experience