Senior ML Engineer - at S&P Global

Mexico City, Mexico City, Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Financial ServicesIndustries

Requirements

Proven track record as a senior / lead ML engineer
Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
Excellent exposure to large scale model deployment strategies and tools
Excellent knowledge of ML & Deep Learning domain
Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale
Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Airflow, Redis, Celery, Flask/Django/FastAPI, Scrapy
Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
Open to learning new technologies and programming languages as required
A Master’s / PhD from a recognized institute in a relevant specialization
Good to have: 5+ years of relevant experience in ML Engineering
Good to have: Prior substantial experience from the Economics/Financial industry
Good to have: Prior work to show on Github, Kaggle, StackOverflow etc

Responsibilities

Design, Develop and Deploy ML powered products and pipelines
Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects
Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies
Research & Implement ML and Deep learning algorithms for production
Run necessary ML tests and benchmarks for model validation
Fine-tune, retrain and scale existing model deployments
Extend existing ML library’s and write packages for reproducing components
Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
Interpret results and present them to business leaders
Manage production pipelines for enterprise scale projects
Perform code reviews & optimization for your projects and team
Lead and mentor by example, including project scrums

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningNLPModel ScalingML PipelinesModel DeploymentData ExtractionInformation RetrievalCode Review

Questions & Answers

Common questions about this position

What is the work location and onsite requirement for this role?

The position is based in Mexico City with a requirement of 2 days onsite.

What technical skills are required for this Senior ML Engineer role?

Required skills include expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace), excellent knowledge of ML & Deep Learning, exposure to Information Retrieval, Web scraping and Data Extraction at scale, and experience with technologies like SQL, Airflow, Redis, Flask/Django/FastAPI, and SOTA NLP models.

What does the team environment look like for this position?

You will work in a truly global team within the Data Transformation - Cognitive Engineering team, in a highly engaging work environment that encourages thoughtful risk-taking and self-initiative, while leading a highly skilled and technically strong team.

What salary or compensation information is provided?

This information is not specified in the job description.

What makes a strong candidate for this Senior ML Engineer role?

A strong candidate has a proven track record as a senior/lead ML engineer, a Master’s/PhD in a relevant field, 5+ years of ML engineering experience (good to have), prior work in Economics/Financial industry, and portfolio evidence on Github, Kaggle, or StackOverflow.

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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