Lead Machine Learning Engineer at S&P Global

Hyderabad, Telangana, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
5 years of progressive experience in machine learning, data analytics, or similar roles
5 years of relevant experience in writing production-level, scalable code
5 years of relevant experience in MLOps, machine learning engineering, big data, or a related role
5 years of relevant experience working with relational and non-relational databases, data processing frameworks, and data orchestration
5 years of relevant experience in containerization, cloud platforms, CI/CD, and workflow orchestration
5 years of relevant experience in distributed systems programming and AI/ML solutions architecture
Preferred Qualifications
2-3 years of experience operationalizing data-driven pipelines for large-scale batch and stream processing analytics solutions
Experience contributing to research projects or participating in data science competitions
6-12 months of experience working with generative AI use cases and relevant engineering practices

Responsibilities

Lead ML Engineering to architect, build, and deploy production-grade generative AI services and solutions
Work on large-scale distributed systems, including infrastructure, data ingestion platforms, relational and non-relational databases, microservices, orchestration services, and more
Oversee MLOps platform development and automated pipelines focused on deploying, monitoring, and maintaining models in production environments, ensuring model governance and optimizing cost and performance
Collaborate with cross-functional teams to integrate machine learning models into production systems
Create and manage documentation and knowledge base, including development best practices and MLOps processes and procedures
Work closely with technology teams in the development and implementation of an enterprise AI platform

Skills

Key technologies and capabilities for this role

Generative AIMLOpsMachine LearningDistributed SystemsMicroservicesData PipelinesData IngestionRelational DatabasesNon-Relational DatabasesOrchestrationModel DeploymentModel MonitoringModel Governance

Questions & Answers

Common questions about this position

What experience is required for the Lead Machine Learning Engineer role?

A Bachelor's degree in Computer Science, Engineering, or a related field is required, along with 5 years of progressive experience in machine learning, data analytics, or similar roles, and 5 years of relevant experience in writing production-level scalable code, MLOps, big data, databases, containerization, cloud platforms, CI/CD, workflow orchestration, and distributed systems programming.

What does the team structure look like for this position?

You will work closely with a world-class AI and ML team comprised of experts in AI and ML modeling, MLOps engineers, data science, and data engineering.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What preferred qualifications will make my application stand out?

Preferred qualifications include 2-3 years of experience operationalizing data-driven pipelines for large-scale batch and stream processing, experience contributing to research projects or data science competitions, and 6-12 months of experience working with generative AI use cases and relevant engineering practices.

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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