Data Scientist - Toronto, Canada - S&P Global

S&P Global

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

About the Role:

Grade Level (for internal use): 09

The Role:
Data Scientist

NLP, LLM and GenAI

Responsibilities:

ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning 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.

Internal Collaboration:

Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.

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.

What We're Looking For:

Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.

Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.

Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.
Hands-on 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.

Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI)
Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms

Nice to have:
Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.

Compensation/Benefits Information:

S&P Global states that the anticipated base salary range for this position is $85,000 - $150,000. Base salary ranges may vary by geographic location.

This role is eligible to receive S&P Global benefits.

About S&P Global Ratings

At S&P Global Ratings, our analyst-driven 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 high-quality 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 world's 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 world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.

What's In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the 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:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Ou