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Engineering-L2-Bengaluru-Vice President-Software Engineering

Engineering-L2-Bengaluru-Vice President-Software Engineering

Goldman Sachs

7 - 12 years

45 - 50 Lacs

Bengaluru

Posted:6 hours ago| Platform:

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Skills Required

Automation Analytical Artificial Intelligence Machine learning Workflow HTML Investment banking Risk management SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

What We Do:

. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Generative AI & Document AI Platform team develops and operates the AI platform services needed to enable Generative AI use cases using Large Language Models (LLM) across the firm in a safe and responsible manner while enabling experimentation, development, and productization of GenAI use cases. The team is responsible for enabling document-to-information workflow and use cases across the firm. This includes support for document processing, information extraction, labeling, custom model development, document storage, and use of documents with RAG and LLMs. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for thought leaders who are passionate about digital transformation, increasing operational efficiency through automation, reduce technical debt and develop highly scalable and reliable applications. They should be creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment.

YOUR IMPACT

Goldman Sachs is seeking a senior application developer to join our dynamic Generative AI & Document AI Platform team. As an integral part of the team, you will play a pivotal role in building scalable platforms on the cloud and driving the adoption of cutting-edge Generative AI technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of whats possible in the intersection of quantitative research and artificial intelligence! Your Responsibilities Will Include

Minimum 7 years - 12 years of relevant industry experience
Strong programming expertise in Python/
Experience with relational databases (e.g. SQL, Postgres) and non-relational databases (e.g. Mongo, DynamoDB)
Experience of using and developing RESTful web Services
Experience in building scalable distributed platforms on AWS
Experience or interest in building mission critical and highly available systems
Experience of end-to-end design and implementation of software products
Team player, eager to work in a regional agile/scrum pod within a global organization
Analytical mindset, creativity, and commercial focus to deliver optimal solutions for the business.
Strong oral and written communication skills

Preferred Qualifications:

Experience with the some of the following is advantageous, but not mandatory:
Architecting distributed platforms for optimal performance, scalability, availability, and reliability
Runtime containers (e.g. Kubernetes, Docker)
Full stack development with a major web SPA framework such as React or Angular
Familiar with CI/CD, DevOps, and SRE principles
Familiarity with technologies like Langchain and RAG

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Engineering-L2-Bengaluru-Vice President-Software Engineering