kernlithBlanc Labs
Senior Machine Learning Engineer
Remote · Full-time · Colombia
- Compensation
- Not defined
- Category
- AI engineering
- Employment
- Full-time
- Workplace
- Remote
Technologies
Python
Kubernetes- SQL
About the role
- 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 AzureOpenAI 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
- Hands-on experience deploying ML models as APIs or microservices using Azure-native compute (Azure Functions, App Service, or AzureKubernetes Service)
- Familiarity with MLOps practices on Azure, including model versioning (AML Model Registry), CI/CD via Azure DevOps, monitoring, and retraining pipelines
- Experience working with large-scale or proprietary datasets stored in Azure Data Lake Storage / Azure SQL
- Strong software engineering fundamentals (testing, scalability, performance optimization) with familiarity in .NET or C# environments an asset given the broader Microsoft stack
- Ability to collaborate effectively with cross-functional teams in a Microsoft-centric enterprise environment
- Nice-to-Have
- Experience with AzureOpenAI Service, Azure AI Studio, or Azure Cognitive Services
- Familiarity with containerization and orchestration tools (Docker, AzureKubernetes Service)
- Experience with real-time or low-latency ML systems on Azure (Event Hubs, Stream Analytics)
- Exposure to LLMs or hybrid AI/ML systems, particularly via AzureOpenAI or Microsoft Copilot ecosystem
- Experience building data pipelines with Azure Data Factory, Synapse Pipelines, or Databricks workflows
- Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Solutions Architect) considered a plus
- Exposure to Power Platform (Power BI, Power Automate) for surfacing ML outputs to business stakeholders
- Blanc Labs is an equal oppo