AI/ML Engineer

Key ResponsibilitiesDesign, 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 SkillsStrong 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.