Machine Learning Engineer

We are seeking a skilled Machine Learning Engineer to build, train, evaluate, and deploy machine learning models at scale. The ideal candidate will have strong experience in Python, machine learning algorithms, data processing, model development, and MLOps.

The Machine Learning Engineer will work closely with data scientists, data engineers, software engineers, and business teams to transform data into reliable machine learning solutions.

• Bachelor’s or master’s degree in computer science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 2–5+ years of experience in machine learning, data science, or software engineering.
• Strong programming skills in Python.
• Strong understanding of supervised and unsupervised learning.
• Experience with machine learning algorithms such as regression, classification, clustering, and recommendation systems.
• Hands-on experience with Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation.
• Experience working with large datasets and SQL.
• Knowledge of deep learning techniques is preferred.
• Experience with model deployment and production ML systems.
• Understanding of MLOps, CI/CD, Docker, and cloud platforms.
• Experience with AWS, Azure, or Google Cloud is preferred.
• Strong analytical and problem-solving skills.