Azure Machine Learning

Tata Consultancy Services; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Tata Consultancy Services is seeking an Azure Machine Learning Engineer to design, develop, deploy, and maintain ML solutions on Microsoft Azure. You will collaborate with data scientists, engineers, and business stakeholders to build scalable models, automate MLOps pipelines, and drive AI-enabled business outcomes.

Responsibilities include building end-to-end ML solutions on Azure, ensuring security and governance, and optimizing data pipelines for performance and scalability.

Qualifications

• Strong programming skills in Python.
• Experience with Azure Machine Learning, Azure AI Services, and cloud-based ML solutions.
• Familiarity with MLOps, CI/CD pipelines, and model deployment.
• Knowledge of Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Storage.
• Understanding of Data Science, Statistics, and AI concepts.

Responsibilities

• Design, develop, and deploy machine learning models using Azure Machine Learning services.
• Build and manage end-to-end MLOps pipelines for model training, deployment, monitoring, and governance.
• Work with structured and unstructured data for predictive analytics and AI solutions.
• Integrate ML models with Azure cloud services and enterprise applications.
• Monitor model performance and implement continuous improvement processes.
• Collaborate with cross-functional teams to translate business requirements into ML solutions.
• Ensure security, compliance, and best practices in cloud-based AI deployments.
• Optimize data pipelines and ML workflows for scalability and performance.

Skills

Python

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

Azure Machine Learning

Azure AI Services

Azure Data Factory

Azure Databricks

Azure Synapse

Azure Storage

Job description

Job Title: Azure Machine Learning Engineer

Job Summary: We are seeking an experienced Azure Machine Learning Engineer to design, develop, deploy, and maintain machine learning solutions on Microsoft Azure. The ideal candidate will collaborate with data scientists, engineers, and business stakeholders to build scalable ML models, automate MLOps pipelines, and drive AI-enabled business outcomes.

Key Responsibilities:

• Design, develop, and deploy machine learning models using Azure Machine Learning services.
• Build and manage end-to-end MLOps pipelines for model training, deployment, monitoring, and governance.
• Work with structured and unstructured data for predictive analytics and AI solutions.
• Integrate ML models with Azure cloud services and enterprise applications.
• Monitor model performance and implement continuous improvement processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
• Ensure security, compliance, and best practices in cloud-based AI deployments.
• Optimize data pipelines and machine learning workflows for scalability and performance.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• Experience with Azure Machine Learning, Azure AI Services, and cloud-based ML solutions.
• Strong programming skills in Python.
• Knowledge of machine learning algorithms, model training, and evaluation techniques.
• Experience with MLOps, CI/CD pipelines, and model deployment.
• Familiarity with Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Storage.
• Understanding of Data Science, Statistics, and AI concepts.