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Associate Director - Machine Learning Engineer

Associate Director - Machine Learning Engineer

S&P Global Market Intelligence

8 - 13 years

20 - 25 Lacs

hyderabad

Posted:1 hour ago| Platform:

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Skills Required

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

Work Mode

Work from Office

Job Type

Full Time

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

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Associate Director - Machine Learning Engineer