Senior Machine Learning Engineer

🚀 Hiring: Senior Machine Learning Engineer (Azure ML & MLOps) 📍

Location: Remote 💼

Experience: 6–10+ Years 🕒

Employment Type: Full-Time Job Overview We are looking for a highly skilled

Senior Machine Learning Engineer with strong expertise in

Azure Machine Learning, MLOps, and cloud-native AI solutions . The ideal candidate will have hands-on experience building, deploying, and managing machine learning models at scale while leveraging Azure services and modern MLOps practices. This role involves collaborating with cross-functional teams to design scalable AI/ML solutions, optimize model performance, and establish robust deployment and retraining pipelines aligned with business objectives. Key Responsibilities

• Design and build batch processing pipelines for large-scale data processing and machine learning model training.
• Develop, deploy, and manage machine learning models using

Azure Machine Learning Studio .

• Implement and maintain end-to-end

MLOps pipelines , including model versioning, monitoring, deployment, and automated retraining.

• Work extensively with Azure services such as

Azure Functions, Cosmos DB, Azure DevOps, Azure Key Vault , and other cloud-native technologies.

• Evaluate and recommend suitable machine learning algorithms, frameworks, and cloud platforms to meet business requirements.
• Optimize model performance, scalability, reliability, and cost efficiency.
• Build CI/CD pipelines for machine learning workflows and production deployments.
• Collaborate with Data Engineers, Data Scientists, Architects, and business stakeholders to define AI/ML strategies and roadmaps.
• Ensure compliance with data governance, security, and organizational standards.
• Provide technical guidance and best practices for ML engineering and MLOps initiatives. Required Skills & Experience
• 6–10+ years of hands-on experience in

Machine Learning Engineering and MLOps .

• Strong proficiency in

Python and machine learning frameworks/libraries.

• Extensive experience with

Azure Machine Learning Studio .

• Hands-on expertise in

Azure DevOps , CI/CD implementation, and automation.

• Experience working with

Azure Functions ,

Cosmos DB , and

Azure Key Vault .

• Strong understanding of machine learning lifecycle management and model operationalization.
• Experience designing and managing

model deployment, monitoring, and retraining pipelines .

• Knowledge of large-scale batch data processing and performance optimization.
• Experience working with

Snowflake and cloud-based data platforms.

• Strong problem-solving, analytical, and communication skills. Email- rajad@infospeedinc.com