drjobs Data Science Intern NLP LLM and GenAI Early Careers

Data Science Intern NLP LLM and GenAI Early Careers

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1 Vacancy
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Job Location drjobs

New York City, NY - USA

Monthly Salary drjobs

$ 35 - 35

Vacancy

1 Vacancy

Job Description

About the Role:

Grade Level (for internal use):

05

The Team:

S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an intern interested in ML and NLP/Gen AI/ LLM to gain realworld experience that will benefit them in their career journey and apply her or his technical expertise in NLP deep learning GenAI and LLMs to drive business value for multiple stakeholders while conducting cuttingedge applied research around LLMs Gen AI and related areas.

Responsibilities and Impact:

  • ML Gen AI NLP LLM Model Development: Design and develop custom ML Gen AI NLP LLM Models for batch and stream processingbased AI ML pipelines. Model components will include data ingestion preprocessing search and retrieval Retrieval Augmented Generation (RAG) NLP/LLM model development finetuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science MlOps technology teams in the design development and implementation of the ML model solutions.
  • ML NLP LLM Model Evaluation: Work closely with the other data science team members to develop validate and maintain robust evaluation solutions and tools to evaluate model performance accuracy consistency reliability during development UAT. Implement model optimizations to improve system efficiency.
  • NLP LLM Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments ensuring reliability and scalability.
  • Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.
  • Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards governance and best practices in ML model development as specified by senior Data Science and MLOps leads.
  • Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

Compensation/Benefits Information:(This section is only applicable to US candidates)

S&P Global states that the anticipated hourly wage for this position is 25 USD 35 USD. Final base salary for this role will be based on the individuals geographic location as well as experience level skill set training licenses and certifications.

This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

What Were Looking For:

Basic Required Qualifications:

  • Working towards a Bachelors or Masters degree in a technical field of study in Engineering Computer Science Computer Engineering Management Information Systems or IT
  • Anticipated graduation date in Fall 2025 or Spring 2026
  • Strong data manipulation skills required including cleaning and handling data
  • Experience using Python and Java
  • Willingness to work with unstructured messy data
  • Excellent communication skills

Additional Preferred Qualifications:

  • An aptitude to learn and adapt quickly in a rapidly changing environment
  • Intellectual curiosity and desire to learn new things techniques and technologies
  • The ability to build strong working relationships in a collaborative setting
  • Handson experience leveraging large sets of structured and unstructured data to develop datadriven tactical and strategic analytics and insights using ML NLP computer vision solutions.
  • Demonstrated handson experience with Python Hugging Face TensorFlow Keras PyTorch Spark or similar statistical tools. Expert in python programming.
  • Handson experience developing natural language processing (NLP) models ideally with transformer architectures.
  • Knowledge of information search and retrieval at scale using a range of solutions ranging from keyword search to semantic search using embeddings.

About S&P Global Ratings
At S&P Global Ratings our analystdriven credit ratings research and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through highquality independent opinions on creditworthiness we enable growth across a wide variety of organizations including businesses governments and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the worlds foremost provider of credit ratings benchmarks analytics and workflow solutions in the global capital commodity and automotive markets. With every one of our offerings we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow today.

For more information visit In It For You

Our Purpose:

Progress is not a selfstarter. It requires a catalyst to be set in motion. Information imagination people technologythe right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence pinpointing risks and opening possibilities. We Accelerate Progress.


Our People:

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Were constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity Discovery Partnership


At S&P Global we focus on Powering Global Markets. Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

S&P Global has a Securities Disclosure and Trading Policy (the Policy) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions pursuant to the Policys requirements candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.


Required Experience:

Intern

Employment Type

Full-Time

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