Associate Director

3 days ago

Hyderabad, Telangana, India S&P Global Market Intelligence Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Grade Level (for internal use):

12

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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