NYC Staffing
Machine Learning Engineer
S&P OpCo, LLC seeks a Machine Learning Engineer who will perform Machine Learning (ML) and Natural Language Processing (NLP) research and development. Fine-tune Large Language Models (LLMs) for custom use cases. Train and build ML models. Prototype, identify, and build predictive solutions. Prompt engineering for LLMs based on business requirements. Write production-grade code. Design and build pipeline and make the solution production ready. Collaborate with the IT team to deploy models in production. Work with AWS team to prepare engineering platform for AI model training and big data solutions. Prepare environment for experimenting model ideas. Assess new AI/ML tools/models in the market. Create AI/ML awareness through study groups and research talks. Explore new Language models and its application. Brainstorm new ideas/solutions that can be used within team. Explore platforms for Generative AI and their offerings through custom evaluation metrics based on usecases. Understand and research new development in NLP field, specifically LLMs. Requirements: Master's degree in Information Management and Systems, Computer Science, Computer Engineering, Electrical Engineering, or related IT field plus two (2) years of experience in software development, machine learning, or a related occupation. Two (2) years of experience must include: Python and PyTorch; Machine learning algorithms, including experience in training and fine-tuning language model and writing production-grade code; Github; Deploying machine learning models in production; Jupyter Notebooks presentation software; Following AI/ML trends, including evaluating new language models; Data modeling with structured, unstructured, and semi-structured data and data visualization. One (1) year of experience must include: Docker; Hugging Face Transformers; AWS (S3, EC2, SageMaker); Cloud-based infrastructure for AI/ML solutions; Evaluation frameworks, custom metrics development and experimentation tools/libraries such as MLflow; Generative AI platforms, including experience in evaluating AI/ML tools based on specific use cases and understanding of advancements in NLP technologies. Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted from anywhere in the U.S.) Salary Range: The anticipated base salary range for this position is $191,889 to $206,350. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. S&P OpCo, LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits.
S&P OpCo, LLC seeks a Machine Learning Engineer who will perform Machine Learning (ML) and Natural Language Processing (NLP) research and development. Fine-tune Large Language Models (LLMs) for custom use cases. Train and build ML models. Prototype, identify, and build predictive solutions. Prompt engineering for LLMs based on business requirements. Write production-grade code. Design and build pipeline and make the solution production ready. Collaborate with the IT team to deploy models in production. Work with AWS team to prepare engineering platform for AI model training and big data solutions. Prepare environment for experimenting model ideas. Assess new AI/ML tools/models in the market. Create AI/ML awareness through study groups and research talks. Explore new Language models and its application. Brainstorm new ideas/solutions that can be used within team. Explore platforms for Generative AI and their offerings through custom evaluation metrics based on usecases. Understand and research new development in NLP field, specifically LLMs. Requirements: Master's degree in Information Management and Systems, Computer Science, Computer Engineering, Electrical Engineering, or related IT field plus two (2) years of experience in software development, machine learning, or a related occupation. Two (2) years of experience must include: Python and PyTorch; Machine learning algorithms, including experience in training and fine-tuning language model and writing production-grade code; Github; Deploying machine learning models in production; Jupyter Notebooks presentation software; Following AI/ML trends, including evaluating new language models; Data modeling with structured, unstructured, and semi-structured data and data visualization. One (1) year of experience must include: Docker; Hugging Face Transformers; AWS (S3, EC2, SageMaker); Cloud-based infrastructure for AI/ML solutions; Evaluation frameworks, custom metrics development and experimentation tools/libraries such as MLflow; Generative AI platforms, including experience in evaluating AI/ML tools based on specific use cases and understanding of advancements in NLP technologies. Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted from anywhere in the U.S.) Salary Range: The anticipated base salary range for this position is $191,889 to $206,350. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. S&P OpCo, LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits.