EY - GDS Consulting - AIA - ML Ops - Senior
at Ernst & Young
Posted 5 days ago
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Senior Data Scientist role in EY GDS Data & Analytics focusing on ML Ops and AI solutions. 3-7 years of experience with NLP, Generative AI, LLMs, and AI solution architectures. You will design, develop, and deploy AI/ML models and pipelines, leveraging data engineering, DevOps and MLOps practices. The role requires AWS as a must-have cloud platform, containerization (Docker, Kubernetes or similar), and experience with ML pipelines and model deployment.
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Job Description: EY GDS – Data and Analytics (D&A) – Senior – MLOP's
Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
MLOps –
Skill Combinations🔹 Combination 1: Mandatory Skills:Programming Language: Python or Node.js or DevOpsAPI Integration Frameworks: FastAPI or Flask or ExpressContainerization: Docker or other container technologiesCloud Platform: AWS (must-have)
OR
Mandatory Skills:
- Programming Language: Python
- MLOps Tools & Practices: MLOps, ML Pipelines, Model Deployment
- Cloud Platform: AWS
- Containerization & CI/CD: Docker or Kubernetes or CI/CD tools (e.g., Jenkins, GitHub Actions)
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