Goldman Sachs Recruitment for Natural Language Processing – Software Engineer 2023

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Last Updated on June 24, 2023 by GeeksGod

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Goldman Sachs Recruitment for Natural Language Processing – Software Engineer 2023- Goldman Sachs is hiring for new analyst, for more such off campus drives, internships, free udemy coupons be updated on our website

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Eligibility Criteria for Goldman Sachs Recruitment for Natural Language Processing – Software Engineer 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
  • Experience in Docker Containerization, K8s, API gateway, Software Load Balancer, gitlab CI/CD Pipeline, Observability tools like Prometheus. Build and enhance orchestration tools to enable semantic search data ingestion pipelines that will be used in document ingestion, vector embeddings for document digitization, search and retrieval and conversational services.
Job TitleGoldman Sachs Recruitment for Natural Language Processing – Software Engineer 2023
Description 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 Experience in Docker Containerization, K8s, API gateway, Software Load Balancer, gitlab CI/CD Pipeline, Observability tools like Prometheus. Build and enhance orchestration tools to enable semantic search data ingestion pipelines that will be used in document ingestion, vector embeddings for document digitization, search and retrieval and conversational services.
Estimated salaryPer hour –
Work LocationPostal code :
Bengaluru
Employment TypeFULL TIME

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