Job Description
We are seeking a talented and experienced Azure AI Engineer to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and cloud computing, with expertise in implementing AI solutions on the Azure platform. As an Azure AI Engineer, you will play a key role in designing, developing, and deploying AI- driven applications to drive business growth and innovation.
Responsibilities
- Design, develop, and deploy AI solutions on the Azure platform, leveraging services such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
- Collaborate with cross-functional teams to understand business requirements, define AI use cases, and architect end-to-end AI solutions.
- Develop and implement machine learning models and algorithms to solve complex business problems, using tools and frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Clean, preprocess, and analyze large datasets using Azure data services (e.g., Azure Data Lake, Azure SQL Database) to extract insights and prepare data for model training.
- Build and optimize scalable and efficient machine learning pipelines, leveraging Azure services for data ingestion, storage, processing, and deployment.
- Evaluate the performance of AI models and algorithms using appropriate metrics and validation techniques, and iterate on models to improve accuracy and efficiency.
- Stay updated on latest Azure AI services, tools, and best practices, and incorporate them into our solutions to drive innovation and efficiency.
- Provide technical guidance, mentorship, and training to junior members of the team.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
- 1 year of experience in AI/ML engineering, with a focus on deploying solutions on the Azure platform.
- Proficiency in programming languages such as Python, Java, or C#.
- Strong understanding of machine learning algorithms, data structures, and statistical techniques.
- Hands-on experience with Azure AI services such as Azure Machine Learning, Azure Cognitive Services, Azure Databricks, etc.
- Knowledge of cloud computing concepts and experience with Azure services (e.g., Azure Data Lake, Azure SQL Database, Azure Storage).
- Excellent problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non- technical stakeholders.
(ref:hirist.tech)
