Goldman Sachs Recruitment 2023 | Associate Software Engineer | BE/ B.Tech

Goldman Sachs Recruitment 2023 | Associate Software Engineer | BE/ B.Tech – CSE/ IT | Bangalore

Company: Goldman Sachs
Goldman Sachs Recruitment 2023: The Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company headquartered in New York City. Apart from investment banking, it offers services in investment management, securities, asset management, prime brokerage, and securities underwriting.

As a “Bulge Bracket Bank”, it is one of the largest investment banking enterprises in the world. It is considered a primary dealer in the United States Treasury security market and more generally, a prominent market maker.

Company Website: www.goldmansachs.com

Positions: Natural Language Processing – Software Engineer – Associate – Bengaluru

Salary: Best In Industry

Experience: Experienced

Job Location: Bangalore

Eligibility Criteria for Goldman Sachs Recruitment 2023:

Undergraduate/graduate degree in Computer Science or related fields
Proven experience in hands-on machine learning development, in a financial firm or a similar industry
Strong expertise in AI models and machine learning techniques, particularly in latest language models
Experience with language modeling, prompt tuning and engineering, instruction tuning, and/or RLHF
Experience with AI platforms and frameworks, such as TensorFlow, PyTorch, Keras, HuggingFace
Experience with search and retrieval algorithms, conversational AI, and large-scale document AI techniques
Excellent communication and collaboration skills to work effectively in a cross-functional team
Demonstrated experience in driving business-critical projects using agile methodologies and best practices in software engineering

Job Description:

We are a leading financial firm specializing in providing innovative solutions to our clients. We are seeking a talented and experienced Senior AI Engineer to join our team and lead efforts in the design and implementation of generative AI solutions. We are specifically looking for someone with hands-on expertise in natural language processing (NLP) and Large Language Models (LLMs) and a passion to solve hard problems on unique financial datasets. This role will focus on implementing end-to-end solutions in the areas of search and information retrieval (IR); question answering and conversational AI; document summarization; entity, event, and relationship extraction and classification; as well as structured text extraction from documents.

Job Responsibilities:-

Search and Retrieval:
- Utilize your expertise in language models to improve search and retrieval algorithms.
- Conduct thorough experiments and evaluate different AI models for various use cases.
- Select and implement the most suitable AI models for improving search and retrieval performance
Conversational AI:
- Develop conversational AI services using large language models to enable interactions such as question answering and summarization
- Leverage open source language models (LLMs) and/or proprietary models and vendor platforms like Google/Microsoft/OpenAI to effectively solve customer problems
- Collaborate with cross-functional teams, including UX/UI designers, to deliver exceptional user experiences to stakeholders
Model Development and Training:
- Build and train working versions of AI models using the GS NLP platform
- Leverage your knowledge of machine learning techniques to optimize and enhance the performance of the model
- Collaborate with the data engineering team to ensure efficient data pipelines for model training and push innovative deep learning models to production
Reusable Patterns, Libraries, and Datasets:
- Identify and create reusable patterns, model catalogs, and datasets to improve efficiency and accelerate development
- Contribute to the company’s internal knowledge base by documenting best practices and sharing insights with the team