Machine Learning Engineer

Job Description:
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and solutions on the Azure ML platform. You will collaborate with cross-functional teams to understand business needs, translate them into technical requirements, and deliver AI-driven solutions that scale.

Key Responsibilities:

• Design, build, and optimise machine learning models using Azure Machine Learning.
• Develop and implement scalable data pipelines and workflows to support ML initiatives.
• Conduct model training, evaluation, and hyperparameter tuning to improve performance.
• Collaborate with data scientists, engineers, and stakeholders to understand project goals and deliver results.
• Deploy machine learning models into production environments and monitor performance.
• Implement best practices for model management, versioning, and deployment using Azure tools.
• Stay updated with the latest trends and advancements in machine learning and AI technologies.

Qualifications:

• At least 5+ years of proven experience as a Machine Learning Engineer or similar role.
• Strong expertise in Azure Machine Learning, including tools and services such as Azure Databricks, Azure Data Factory, and Azure DevOps.
• Proficiency in Python, with hands-on experience in ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Experience in deploying machine learning models in production environments using Azure ML pipelines.
• Experience with MLOps practices and tools for continuous integration and deployment.
• Strong problem-solving skills and ability to work in a collaborative environment.