AI/ML Engineer

Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for various business use cases. Preprocess, clean, and validate large datasets for use in training and inference. Conduct research and stay updated on the latest AI/ML trends, frameworks, and best practices. Optimize models for performance, scalability, and efficiency. Collaborate with data engineers and software developers to integrate ML models into production systems. Monitor model performance and retrain models as needed. Document your work, write clean and maintainable code, and follow best practices in software development and MLOps.

Key Requirements Proficient in Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning and deep learning concepts Experience in data preprocessing and model deployment Familiar with Git; Docker or MLOps tools are a plus Strong problem-solving and teamwork skills Bachelor’s in Computer Science or related field