Hybrid Machine Learning (AI) Engineer

About the role

We are seeking a Machine Learning (AI) Engineer to design, develop, and deploy intelligent models that power core product features. The position is hybrid, allowing you to work remotely while collaborating with cross‑functional teams.

Key responsibilities

• Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch.
• Build and maintain data pipelines to ensure high‑quality inputs for model training and evaluation.
• Implement MLOps practices, including model deployment, monitoring, and version control.
• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.
• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.

Required profile

• Strong background in data preprocessing, feature engineering, and model evaluation metrics.
• Experience with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.
• Familiarity with software engineering best practices, including Git and CI/CD pipelines.

Required skills

• Python
• TensorFlow
• PyTorch
• MLflow
• Kubeflow
• SageMaker
• AWS
• GCP
• Azure
• Git
• CI/CD