Lead Software Engineer AI Focused

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Description

Were seeking top talents for our AI engineering team to develop high-quality AI solutions and deliver AI consultancy/support services. Candidates should have a strong computer science background and be ready to handle end-to-end projects focusing on engineering.

As a Lead Software Engineer at JPMorgan Chase within the Securities Services Technology Core AI team you will collaborate with all lines of business and functions to accelerate software solutions using AI. Experiment develop and productionize high-quality AI solutions services and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable AI solutions for technology as well as business needs. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products.

Job Responsibilities

Researchs develops and implements AI solutions to solve complex business problems.
Works closely with cross-functional teams to translate business requirements into technical solutions and drive innovation.
Collaborates with product managers key business stakeholders engineering and platform partners to accelerate challenging projects using AI technologies.
Conducts research to develop state-of-the-art AI based solutions for wider adoption by business and tech teams.
Stays up-to-date with the latest publications in relevant AI domains and find applications for the same in your problem spaces for improved outcomes.
Communicates findings and insights to stakeholders through presentations reports and visualizations.
Works with regulatory and compliance teams to ensure that AI solutions adhere to standards and regulations.
Mentors associates in delivering successful projects and building successful careers in the firm.
Participates and contributes back to firm-wide AI communities through patenting publications and speaking engagements.

Required qualifications capabilities and skills

Hands on experience using Python or Java; UI technologies such as React; RDBMS such as Oracle. Cloud deployment experience in AWS
Thorough understanding of LLM models such as GPT Sonnet plus good know how of multiple IDEs such as VSCode Intellij
Knowledge on Flask and Django Frameworks.
Strong analytical and critical thinking skills for problem solving with excellent written and oral communication along with demonstrated teamwork skills.
Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences
Experience in working in interdisciplinary teams and collaborating with other researchers engineers and stakeholders.
A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills
Expertise in leveraging APIs and security authentication and data structures.
Knowledge of version and revision control practices and procedures
Experience with agile software delivery processes including practices like automated testing and CI/CD
Prior experience with Agile Methodologies (Scrum TDD)

Preferred qualifications capabilities and skills

Expertise in any of the following areas: Natural Language Processing Knowledge Graph Computer Vision Speech Recognition Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
Deep hands-on experience with real-world AI projects either through academic research internships or industry roles.
Knowledge in Data structures Algorithms Machine Learning Data Mining Information Retrieval Statistics.
Experience with distributed data/feature engineering along with experience in scale training validation and testing experiments.
Experience with cloud Machine Learning services in AWS like Sagemaker.
Experience with Container technology like Docker ECS etc.

Required Experience:

DescriptionWere seeking top talents for our AI engineering team to develop high-quality AI solutions and deliver AI consultancy/support services. Candidates should have a strong computer science background and be ready to handle end-to-end projects focusing on engineering.As a Lead Software Engineer...

Description

Job Responsibilities

Researchs develops and implements AI solutions to solve complex business problems.
Works closely with cross-functional teams to translate business requirements into technical solutions and drive innovation.
Collaborates with product managers key business stakeholders engineering and platform partners to accelerate challenging projects using AI technologies.
Conducts research to develop state-of-the-art AI based solutions for wider adoption by business and tech teams.
Stays up-to-date with the latest publications in relevant AI domains and find applications for the same in your problem spaces for improved outcomes.
Communicates findings and insights to stakeholders through presentations reports and visualizations.
Works with regulatory and compliance teams to ensure that AI solutions adhere to standards and regulations.
Mentors associates in delivering successful projects and building successful careers in the firm.
Participates and contributes back to firm-wide AI communities through patenting publications and speaking engagements.

Required qualifications capabilities and skills

Hands on experience using Python or Java; UI technologies such as React; RDBMS such as Oracle. Cloud deployment experience in AWS
Thorough understanding of LLM models such as GPT Sonnet plus good know how of multiple IDEs such as VSCode Intellij
Knowledge on Flask and Django Frameworks.
Strong analytical and critical thinking skills for problem solving with excellent written and oral communication along with demonstrated teamwork skills.
Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences
Experience in working in interdisciplinary teams and collaborating with other researchers engineers and stakeholders.
A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills
Expertise in leveraging APIs and security authentication and data structures.
Knowledge of version and revision control practices and procedures
Experience with agile software delivery processes including practices like automated testing and CI/CD
Prior experience with Agile Methodologies (Scrum TDD)

Preferred qualifications capabilities and skills

Expertise in any of the following areas: Natural Language Processing Knowledge Graph Computer Vision Speech Recognition Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
Deep hands-on experience with real-world AI projects either through academic research internships or industry roles.
Knowledge in Data structures Algorithms Machine Learning Data Mining Information Retrieval Statistics.
Experience with distributed data/feature engineering along with experience in scale training validation and testing experiments.
Experience with cloud Machine Learning services in AWS like Sagemaker.
Experience with Container technology like Docker ECS etc.

Required Experience:

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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