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 Dev Ops. Proficiency in Python, with hands-on experience in ML libraries/frameworks (e.g., Tensor Flow, Py Torch, 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. #J-18808-Ljbffr