Sr. MLE at S&P Global

New York, New York, United States

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$108,000 – $170,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FinanceIndustries

Requirements

Master's degree in Computer Science, Machine Learning, Data Science, or related technical field, or equivalent professional experience
5+ years of hands-on experience in machine learning engineering, model development, and deployment with demonstrated leadership experience
Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar technologies
Strong programming skills in languages such as Python, R, or Scala with experience in software development best practices
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling
Proven leadership and mentoring abilities with strong analytical and problem-solving skills
Preferred Qualifications
Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar platforms for model lifecycle management
Knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks
Experience with containerization and orchestration technologies such as Docker, Kubernetes, or similar platforms
Previous experience leading cross-functional teams and driving technical strategy in collaborative environments

Responsibilities

Play a part in the design and development of scalable machine learning models and algorithms to process large datasets and extract actionable insights
Engineer end-to-end ML pipelines from data ingestion through model deployment and monitoring in production environments
Collaborate with cross-functional teams including Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to deliver enterprise-scale AI solutions
Research and implement cutting-edge machine learning techniques and frameworks to solve complex business problems
Automate solutions that can be deployed across the enterprise, identifying opportunities for process improvement and efficiency gains
Work in a collaborative environment to execute innovative capabilities in an enterprise setting

Skills

Machine Learning

ML Pipelines

Data Ingestion

Model Deployment

Monitoring

Scalable Models

Algorithms

Large Datasets

AI Solutions

Data Engineering

Gen AI

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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