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Azure Databricks ML Engineer / Senior Machine Learning Engineer

  • Source: LinkedIn
  • ZettaMine Labs Pvt. Ltd.
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Hello All,

Greetings from ZettaMine!!!

Job Title: Azure Databricks ML Engineer / Senior Machine Learning Engineer

Location: PAN India

Experience: 11+ Years

Notice Period: Immediate Joiners

Detailed Job Description

We are looking for an experienced Azure Databricks ML Engineer with 11+ years of experience in designing, developing, and deploying scalable Machine Learning solutions on Azure. The ideal candidate should possess strong expertise in Azure Databricks, Python, PySpark, MLOps, and CI/CD practices for ML model deployment.

Key Responsibilities:

  • Design, develop, and deploy Machine Learning solutions using Azure Databricks .
  • Build end-to-end ML pipelines encompassing data preparation, feature engineering, model training, validation, and deployment.
  • Develop predictive and prescriptive analytics solutions for business and operational use cases.
  • Implement MLOps best practices for model versioning, monitoring, governance, and lifecycle management.
  • Create reusable notebooks, data processing frameworks, and AI/ML accelerators.
  • Process and analyze large-scale structured and unstructured datasets using Spark and Databricks .
  • Collaborate with business stakeholders, data engineers, architects, and cross-functional teams to gather requirements and translate them into scalable AI/ML solutions.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Develop automated model retraining pipelines and performance monitoring mechanisms.
  • Implement CI/CD pipelines for Machine Learning model deployment and management.
  • Ensure adherence to enterprise data governance, security, compliance, and best practices.
  • Support production deployment activities and provide technical guidance on AI/ML solution implementation.

Required Technical Skills:

  • Azure Databricks
  • Azure Services
  • Python
  • PySpark
  • CI/CD for ML Models
  • Machine Learning
  • MLOps
  • Apache Spark
  • Azure DevOps
  • Model Deployment & Monitoring
  • Data Engineering
  • Feature Engineering
  • Predictive Analytics
  • Prescriptive Analytics

Preferred Skills:

  • Experience with enterprise-scale AI/ML platforms.
  • Exposure to Azure Machine Learning and cloud-native ML deployment frameworks.
  • Strong understanding of data governance, security, and compliance standards.
  • Excellent stakeholder management and communication skills.

Interested candidates kindly share your updated CV to [email protected] or WhatsApp to 8977527825.

Thanks & Regards,

Gangadhar.B

Skills

  • microsoft-azure
  • azure-databricks
  • databricks
  • azure-machine-learning
  • Python
  • pyspark
  • Spark
  • azure-devops
  • scaleai
  • WhatsApp

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