AI/ML Engineer

Key Responsibilities * Design, develop, train, and evaluate machine learning models. * Develop AI/ML solutions for business and technical problems. * Perform data preprocessing, feature engineering, and exploratory data analysis. * Implement supervised and unsupervised machine learning algorithms. * Develop and optimize deep learning models using frameworks such as TensorFlow or PyTorch. * Build and maintain end-to-end machine learning pipelines. * Deploy ML models into production using cloud and containerization technologies. * Monitor model performance and improve accuracy, scalability, and reliability. * Work with data engineers, software developers, and business teams to integrate ML solutions. * Conduct model validation, testing, and performance tuning. * Stay updated with emerging technologies in AI, machine learning, Generative AI, and Large Language Models (LLMs). * Document models, experiments, technical processes, and deployment workflows. Required Skills * Strong proficiency in Python . * Good knowledge of Machine Learning and Deep Learning . * Experience with scikit-learn, TensorFlow, PyTorch, or similar frameworks . * Strong understanding of statistics, probability, and data analysis. * Experience with SQL and databases. * Knowledge of data preprocessing and feature engineering. * Familiarity with Git, Docker, APIs, and CI/CD . * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) . * Understanding of ML model deployment and MLOps practices.