Azure Machine Learning Engineer

Company Overview

Company Overview not specified.

Job Summary

We are seeking an experienced Azure Machine Learning Engineer to design, build, and deploy machine learning models and solutions on Microsoft Azure. The ideal candidate will bring strong expertise in Azure services, MLOps practices, and machine learning frameworks, while collaborating with cross-functional teams to deliver scalable AI-powered solutions.

Responsibilities

• Model Development & Deployment: Design, develop, and deploy machine learning models using Azure Machine Learning and related services.
• Data Handling & Processing: Prepare, process, and manage large-scale datasets using Azure Data Factory, Azure Databricks, and other Azure data services.
• MLOps Implementation: Develop and maintain CI/CD pipelines for automated training, deployment, and monitoring of ML models.
• Performance Optimization: Enhance scalability, efficiency, and performance of ML models and applications on Azure.
• Monitoring & Troubleshooting: Track model and application performance, diagnose issues, and implement solutions.
• Collaboration: Work closely with data scientists, software developers, and stakeholders to deliver business-driven AI solutions.
• Documentation: Maintain clear and detailed technical documentation for all developed solutions.
• Continuous Learning: Stay up to date with advancements in Azure Machine Learning and related AI/ML technologies.

Qualifications

• Azure Expertise: Hands-on experience with Microsoft Azure Machine Learning, Azure Data Factory, Azure Databricks, and related Azure services.
• Machine Learning Knowledge: Strong understanding of machine learning concepts, algorithms, and techniques, including deep learning.
• Programming Proficiency: Skilled in Python with experience in libraries such as scikit-learn, TensorFlow, or PyTorch.
• MLOps Experience: Practical knowledge of MLOps principles and CI/CD tools for ML lifecycle management.
• Data Services: Experience with Azure Data Lake Storage, Azure Synapse Analytics, or Azure SQL Database.
• Cloud & Containers: Familiarity with Docker, Kubernetes, and cloud-native deployments of ML models.
• Version Control: Proficient in Git or other version control systems.
• Soft Skills: Strong communication, collaboration, and problem-solving abilities.

Preferred Skills

• Experience with various machine learning frameworks and tools beyond the basic required skills.
• Familiarity with big data technologies and frameworks.

Experience

• Minimum of 5 years of relevant experience in Azure Machine Learning, model deployment, and MLOps practices.

Environment

• Location: Hybrid work model, with potential locations including Hyderabad, Bangalore, and Coimbatore.

Salary

Salary information not specified.

Growth Opportunities

Growth opportunities within the company not specified.

Benefits

Benefits information not specified.