We’re Hiring: Machine Learning Engineer (Azure ML)

Are you passionate about building intelligent systems and deploying scalable AI solutions? Join our team and play a key role in developing predictive AI capabilities that drive real business impact.

Role Overview

As a Machine Learning Engineer, you will design, build, and deploy machine learning models using Azure’s advanced ecosystem. You’ll work closely with data scientists, engineers, and stakeholders to turn data into actionable insights and production-ready solutions.

Key Responsibilities

• Design and develop machine learning models using Azure Machine Learning
• Build robust feature engineering and data preprocessing pipelines
• Deploy models as scalable REST APIs for real-time and batch inference
• Implement end-to-end MLOps workflows, including CI/CD for ML
• Monitor model performance and establish retraining strategies
• Collaborate with cross-functional teams to translate business needs into ML solutions

Required Skills & Qualifications

• Strong programming skills in Python (pandas, scikit-learn)
• Hands-on experience with Azure Machine Learning
• Solid understanding of machine learning algorithms and model evaluation
• Experience with MLOps practices (model deployment, monitoring, versioning)
• Familiarity with REST API development and cloud-based architectures

Preferred Qualifications

• Experience with Azure DevOps or similar CI/CD tools
• Knowledge of data engineering workflows and pipelines
• Exposure to containerization tools like Docker and orchestration platforms

Experience

• 3–6+ years of relevant experience in machine learning engineering or related roles