Associate Director - Machine Learning Engineer @ S&P Global Market

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Associate Director - Machine Learning Engineer

S&P Global Market
8 - 13 years
Hyderabad
3 months ago
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Job Description

Grade Level (for internal use):

The Role: Machine Learning Engineer - Assoc Dir

The Team:

You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML & LLMOps engineers, data science and data engineering teams. You will contribute to engineering and developing solutions for ML operations and be a critical part of leading S&Ps AI-driven transformation to drive value internally and for our customers.

S&P is a leader in automation and AI/ML to transform risk management. This role is a unique opportunity for ML/MLOps engineers to grow into the next step in their career journey.

Responsibilities and Impact:

Lead ML Engineering to architect, build and deploy production grade GenAI services and solutions.
Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more.
Lead MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring and maintaining models in production environments; with model governance, cost and performance optimization.
Collaborate with cross-functional teams to integrate machine learning models into production systems.
Create and manage Documentation and knowledge base, including development best practices, MLOps/LLMOps processes and procedures.
Workclosely with members of technology teams in the development, and implementation of Enterprise AI platform.

What Were Looking For:

Basic Required Qualifications:

Bachelor'sdegree in Computer Science, Engineering, or a related field.
8+ years of progressive experience as in machine learning, data analytics or similar roles.
5 years of relevant experience with
- Writing production level, scalable code with Python (or scala)
- MLOps/LLMOps, machine learning engineering, Big Data, or a related role.
- Elasticsearch, SQL,NoSQL,Apache Airflow, Databricks, MLflow.
- Containerization, cloud platforms, CI/CD and workflow orchestration tools.
- Distributed systems programming, AI/ML solutions architecture, Microservices architecture experience.

Additional Preferred Qualifications:

2-3 years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions
Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions
6-12 months of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases.
Experience with SageMaker and/or Vertex AI

Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: S&P Global Market
Location(s): Hyderabad

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Keyskills: continuous integration python production pipeline stream processing data analytics vertex scala airflow ci/cd aws sagemaker machine learning sql nosql microservices data bricks containerization elastic search data science big data

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S&P Global Market

S&P Capital IQ, a business line of The McGraw-Hill Companies (NYSE:MHP), is a leading provider of multi-asset class and real time data, research and analytics to institutional investors, investment and commercial banks, investment advisors and wealth managers, corporations and universities aroun...

Associate Director - Machine Learning Engineer @ S&P Global Market

Home > Data Science & Machine Learning