Machine Learning Engineer

Role Overview We are seeking a Machine Learning Engineer to design, develop, and deploy machine learning models that support data-driven decision-making and intelligent applications. The role involves working with data scientists, engineers, and product teams to build scalable machine learning pipelines and integrate models into production systems. Key Responsibilities • Develop, train, and optimize machine learning models for real-world applications • Build and maintain data pipelines for model training and evaluation • Deploy machine learning models into production environments • Work with large datasets to extract insights and improve model performance • Collaborate with data scientists and software engineers to integrate ML solutions into products • Monitor model performance and retrain models as needed • Implement best practices for model versioning, testing, and deployment Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field • Strong programming skills in Python or similar languages • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Understanding of statistics, data structures, and algorithms • Experience with data preprocessing and feature engineering • Knowledge of SQL and working with large datasets Preferred Skills • Experience with cloud platforms (AWS, Azure, or GCP) • Familiarity with MLOps tools and model deployment pipelines • Knowledge of big data technologies like Spark or Hadoop • Experience with deep learning and natural language processing (NLP)