As an AI and Automation Engineer, you will design, develop, and deploy intelligent solutions using Microsoft's cloud and AI technologies.
You'll work across data science, machine learning, and cognitive services to build scalable, secure, and impactful AI systems that integrate seamlessly with enterprise-grade Microsoft platforms.
Responsibilities
Design and implement scalable machine learning models and AI solutions, specifically in MS Azure using MS AI products.
Integrate Cognitive Services (Vision, Speech, Language) into business workflows.
Design data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.
Ensure data quality, governance, and compliance using Microsoft Purview.
Implement MLOps practices using Azure ML, GitHub Actions, and DevOps Pipelines.
Monitor model performance and retrain as needed using Azure Monitor and Application Insights.
Integrate AI models into Power Platform apps.
Collaborate with cross-functional teams to identify opportunities for AI integration.
Develop and maintain data pipelines and infrastructure for model training and deployment.
Monitor and optimize model performance in production environments.
Stay current with advancements in AI/ML technologies and apply them where appropriate.
Ensure ethical and responsible AI practices, including bias mitigation and explainability.
Document processes, models, and systems for transparency and reproducibility.
Implement and maintain unit testing frameworks to ensure code quality.
Communicate effectively with stakeholders and business units to better understand the need and ensure it's being met through technical specifications.
Create and maintain technical documentation for web applications, including setup, guides and BAU support transition documentation.
Qualifications
Experience
3+ years professional software development experience with a focus on Azure cloud and MS AI technologies.
Deep experience with Azure AI services, including:
Familiarity with Power BI, Power Apps, and Power Automate for AI-driven insights and automation.
Strong understanding of cloud architecture, security, and cost optimization in Azure.
Skills
Proficiency in Python, R, or C# for AI/ML development.
Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Solid understanding of data structures, algorithms, and software engineering principles.
Experience with NLP, computer vision, or reinforcement learning is a plus.
Knowledge of data privacy, security, and ethical AI considerations.
Strong understanding of RESTful APIs and microservices / service architectures.
Experience Azure cloud services (e.g., functions and DevOps).
Experience with Git and GitHub workflows.
Strong problem-solving skills and attention to detail.
Experience with database technologies (SQL Server, MySQL, Azure SQL and NoSQL).
Comfortable building and improving CI/CD pipelines.
Self-motivated with a passion for keeping up with industry trends.
Clear communicator and collaborator with stakeholders and project teams.
Ability to work independently and collaboratively in a team environment.
Formal Education Qualifications
Degree/Diploma/Certification in Computer Science, or related field.
Agile/DevOps related certifications such as SCRUM Master, Cloud Foundations, etc., is desirable
#J-*****-Ljbffr