Goldman Sachs hiring 2022, 2023, and 2024 Batch

Goldman Sachs Company Recruitment For Natural Language Processing – Software Engineer – Associate Candidates who completed Bachelor’s or Master’s degrees are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below Read the mentioned details carefully.

JOB DESCRIPTION

Goldman Sachs hiring Core Responsibilities:

1. 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
2. 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
3. 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
4. Reusable Patterns, Libraries, and Datasets:
   • Identify and create reusable patterns, model catalogs, and datasets to improve efficiency and accelerate the development
   • Contribute to the company’s internal knowledge base by documenting best practices and sharing insights with the team

Goldman Sachs hiring Requirements:

• 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 the 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
• Experience in Docker Containerization, K8s, API gateway, Software Load Balancer, GitLab CI/CD Pipeline, and Observability tools like Prometheus. Build and enhance orchestration tools to enable semantic search data ingestion pipelines for document ingestion, vector embeddings for document digitization, search and retrieval, and conversational services.

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