Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Collection Platforms & AI team is building ML-powered products and capabilities for natural language understanding, data extraction, information retrieval, and data sourcing solutions. You will spearhead the development of production-ready AI products and pipelines in a highly engaging, global work environment that encourages thoughtful risk-taking and self-initiative. This role involves developing next-generation products and enhancing existing ones to solve high-impact business problems, contributing to breakthrough products and significant business value.

Responsibilities

Develop and deploy large-scale ML and GenAI-powered products and pipelines.
Own all stages of the data science project lifecycle, including development, deployment, monitoring, and scaling of models through the full Software Development Life Cycle into production.
Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.
Partner with business leaders, domain experts, and end-users to gather requirements and align on success metrics.
Follow coding standards, perform code reviews, and optimize data science workflows.
Evaluate, interpret, and communicate results to executive stakeholders.

Requirements

Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
Proficiency in linear programming and optimization.
Experience with multi-dimensional optimizers (e.g., Adam, SGD, Gradient Descent).
Ability to adjust weights for full/partial tuning of LLMs.
Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval.
Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers).
Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems.
Solid understanding of database structures and SQL.
Ability to perform independent research and synthesize current AI/ML research, with a track record of applying new methods in production.
Experience in end-to-end GenAI or advanced NLP projects (e.g., NER, table extraction, OCR integrations, GNN solutions).
Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit.
Openness to evaluate and adopt emerging technologies and programming languages.
Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications.
5+ years in professional work within AI space or building statistical/quantitative models in production.
Right to work within the USA (for US-based candidates).
Right to work within Canada (for Canada-based candidates).

Skills

Machine Learning
GenAI
Natural Language Understanding
Data Extraction
Information Retrieval
Data Sourcing
Python
NumPy
Pandas
SpaCy
scikit-learn
PyTorch
TensorFlow 2
Hugging Face Transformers
Large Language Models (LLMs)
Prompt Engineering
Fine-tuning
Customization
Embedding-based Retrieval
Deep Learning
NLP
GNNs
Multimodal Systems
Database Structures
SQL
Orchestration Tools
Deployment Tools
Airflow
Redis
Flask
Django
FastAPI
R-Shiny
Dash
Streamlit
Statistics
Probability
Linear Programming
Optimization
Multi-dimensional Optimizers
Adam
SGD
Gradient Descent

Location

Princeton, NJ (hybrid)
New York, NY (hybrid)
Charlottesville, VA (hybrid)
Toronto, ON (hybrid)
Calgary, AB (hybrid)
Mexico City, MX (hybrid)

Work Type

Hybrid

Experience Level

5+ years in professional work within AI space or building statistical/quantitative models in production

Education Level

Advanced technical degree (Master and above) in any of Sciences, Technology, Engineering and Mathematics (Preferred)

Salary/Compensations

USD $90,000 – $160,000 (US Applicants)
CAD 95,000 – 140,000 (Canadian Applicants)

Benefits

Annual incentive plan (US Applicants)
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off.
Continuous Learning: Access to resources for career growth and skill development.
Invest in Your Future: Competitive pay, retirement planning, continuing education program with company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: Benefits for partners and children.
Beyond the Basics: Retail discounts, referral incentive awards.

About the Company

S&P Global delivers Essential Intelligence® that shapes decision making.
We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.
Our mission is Advancing Essential Intelligence.
We are more than 35,000 strong worldwide, understanding 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.
We are changing the way people see things and empowering them to make an impact on the world.
We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.
Our Values: Integrity, Discovery, Partnership.
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions.
We care about our people and provide everything needed to thrive at S&P Global.

Equal Opportunity

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal.