Senior Machine Learning Engineer

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.

We are looking for a Senior Machine Learning Engineer to lead the end-to-end development and lifecycle management of machine learning models powered by proprietary data, within a Microsoft-centric technology environment. This is a highly impactful role at the core of our AI ecosystem, responsible for building scalable, production-grade ML systems on Azure that directly power intelligent product features.

Key Responsibilities

• Design, build, and deploy end-to-end machine learning models using proprietary datasets, primarily within Azure Machine Learning

• Own the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, and validation

• Collaborate with Data Scientists to identify and prioritize high-impact ML opportunities

• Work with Principal AI Engineers to ensure models align with system architecture and engineering best practices across the Azure ecosystem

• Package and expose trained models as scalable APIs (Azure Functions, Azure App Service, or AKS) for consumption by AI Engineers and downstream systems

• Build and maintain model pipelines using Azure ML Pipelines / Azure DevOps, including versioning, retraining, and continuous improvement workflows

• Monitor model performance in production using Azure Monitor and Application Insights, ensuring accuracy, reliability, and relevance over time

• Troubleshoot model drift, data quality issues, and performance bottlenecks

• Partner with data engineering teams working in Azure Synapse, Azure Data Factory, and Azure Databricks to ensure clean, reliable data pipelines feeding ML workflows

• Support integration of models with Microsoft-native AI services, including Azure OpenAI Service and Azure AI Studio, where applicable

Qualifications

• Strong experience in machine learning engineering, with production deployment experience on Microsoft Azure

• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

• Hands-on experience with Azure Machine Learning (AML Studio, AML SDK/CLI v2, endpoints, pipelines, model registry)

• Experience with data preprocessing, feature engineering, and model evaluation techniques, using Azure Databricks and/or Azure Synapse Analytics