Junior Machine Learning Engineer

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML models that power intelligent features across the platform. This role offers the opportunity to work alongside experienced ML engineers and data scientists, gaining hands-on experience with the full machine learning lifecycle—from data preparation and model training through evaluation and production deployment.The ideal candidate is passionate about machine learning, has strong programming fundamentals, and is eager to apply academic knowledge to real-world problems. This position provides mentorship, exposure to production ML systems, and the opportunity to grow technical skills in a supportive environment.The engineer will work on meaningful projects that directly impact users, learning MLOps best practices while contributing to model development and pipeline maintenance. What you'll do Assist in developing and training machine learning models using PyTorch or TensorFlow Write Python code for data preprocessing, feature engineering, and model evaluation Help build and maintain ML pipelines for training and inference Collaborate with data engineers to access and process training data Document model performance, experiments, and technical decisions Learn MLOps practices and contribute to model deployment workflows What you bring 0-2 years of experience in machine learning or data science Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn) Understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics) Familiarity with SQL and data manipulation (pandas, numpy) Exposure to cloud platforms (AWS, GCP) is a plus Bachelor's or Master's degree in Computer Science, Statistics, or related field What you get Medical, dental, and vision insurance 401(k) Paid time off Job details and compensation are subject to change. #J-18808-Ljbffr Errgo