Machine Learning Engineer

• Designing, developing, and deploying end-to-end machine learning models and scalable data pipelines
• Performing data analysis, feature engineering, model training, experimentation, and statistical evaluation to ensure high-quality model performance
• Deploying machine learning models into production environments using APIs and cloud platforms
• Continuously monitoring and optimizing model accuracy, reliability, and efficiency
• Collaborating closely with cross-functional teams to deliver AI-driven solutions
• Proper documentation of models, experiments, and workflows to support long-term scalability and maintenance

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field is required, or equivalent practical experience
• 3+ years of professional experience in machine learning, data science, or a related role
• Strong programming skills in Python or R
• Hands-on experience using machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Practical experience working with Pandas, NumPy, and SQL
• Solid understanding of machine learning algorithms and statistics
• Experience deploying models on cloud platforms such as AWS, Azure, or Google Cloud Platform

Experience with Docker and Kubernetes