AI/ML Engineer

Key Responsibilities:

• Design, develop, test, and deploy machine learning models and solutions.
• Build and maintain scalable machine learning pipelines in Microsoft Azure.
• Use Python for data preparation, model development, automation, and integration.
• Implement MLOps practices covering model versioning, deployment, monitoring, and retraining.
• Collaborate with data engineers, software engineers, and project stakeholders to translate business requirements into production-ready solutions.
• Create and maintain technical documentation related to models, pipelines, and delivered solutions.

Required Skills and Qualifications:

• Professional experience in machine learning engineering or a closely related role.
• Strong Python skills and practical experience with common machine learning frameworks and libraries.
• Hands-on experience with Microsoft Azure in a machine learning or data context.
• Practical knowledge of MLOps, CI/CD, model deployment, and monitoring practices.
• Ability to work effectively with project stakeholders and within a delivery team.
• Good communication, problem-solving, and documentation skills.