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ML Ops Engineer @ Excelra

Home > Data Science & Machine Learning

 ML Ops Engineer

Job Description

Must have skillsets Required Skills:
5 years of experience in ML Ops, DevOps, or Data Engineering roles.
Hands-on experience with Azure services, including:
o Azure Machine Learning
o Azure DevOps (CI/CD)
o Azure Kubernetes Service (AKS)
o Azure Data Lake / Blob Storage
o Azure Functions / Logic Apps
Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Experience with ML model monitoring and logging tools.
Knowledge of ML model versioning and experiment tracking (e.g., MLflow, DVC).
Strong understanding of software development best practices and agile methodologies.
Familiarity with Terraform or Bicep for Azure infrastructure provisioning.
Exposure to Responsible AI and governance frameworks on Azure.
Experience working in regulated industries (healthcare, Pharma & Life Sciences) is a plus. Role & responsibilities

Preferred candidate profile

Job Classification

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

Contact Details:

Company: Excelra
Location(s): Hyderabad

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Keyskills:   ML Ops Azure Databricks Azure Machine Learning

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₹ 22.5-27.5 Lacs P.A

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Excelra

Excelra Knowledge Solutions (formerly GVK Informatics) is a leading Informatics Solutions company that leverages its extensive scientific knowledge base, technology and relevant domain expertise to provide intelligent data and analytics solutions to customers globally.\n\nExcelras expertise span acr...