Machine Learning Engineer

We are seeking a Machine Learning Engineer to join our team in a fully remote capacity. In this role, you will design, develop, train, and evaluate machine learning models that power intelligent features and data-driven products. You will work across the full ML lifecycle, from data collection and feature engineering through model deployment and monitoring.

You will collaborate with data scientists, software engineers, and product stakeholders to translate business problems into scalable machine learning solutions. The role involves building robust pipelines, experimenting with algorithms, and optimizing models for performance and reliability in production environments.

This is a remote position, offering flexibility to work from anywhere while contributing to impactful AI-driven initiatives. You will be part of a growing team focused on delivering high-quality machine learning systems that create measurable business value.

If you are passionate about applied machine learning and enjoy solving complex problems at scale, we encourage you to apply.

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
• Proven experience developing, training, and evaluating machine learning models
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data preprocessing, feature engineering, and model evaluation techniques
• Knowledge of MLOps practices, model deployment, and monitoring in production
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills and ability to work effectively in a remote, cross-functional team