Apply for Semi-Senior Machine Learning Engineer

A Typical Day

As a Semi-Senior ML Engineer, you’ll design and implement ML models with a moderate level of autonomy, work closely with data scientists and software engineers, and contribute to production-level ML solutions.

Qualifications

• Strong proficiency in Python and ML frameworks like scikit-learn, TensorFlow, or PyTorch
• Experience with feature engineering and model evaluation
• Ability to train and deploy models in real-world environments
• Understanding of MLOps concepts and version control for ML

Preferred Qualifications

• Bachelor’s degree in a relevant field + 2–3 years of ML experience
• Exposure to cloud platforms (AWS, GCP, or Azure)
• Familiarity with Docker and REST APIs for model serving
• Team collaboration experience in Agile environments
• Intermediate or higher English skills
• Full-time and Remote availability

We offer

🚀 Personalized development plans, technical challenges, and conference support

🌱 Work flexibility, wellness benefits, and inclusive team cultur