Artificial Intelligence Developer

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients" needs. You will collaborate with cross-functional teams to integrate AI models into our products and services, leveraging cutting-edge technologies to drive innovation and deliver impactful results. Your responsibilities will include designing and developing AI models and algorithms to solve business problems, implementing machine learning and deep learning algorithms for various applications, collaborating with data scientists and engineers to preprocess data and build datasets for training models, integrating AI models into software applications and platforms, optimizing AI models for performance, scalability, and efficiency, conducting research to stay current with the latest advancements in AI and machine learning technologies, testing and validating AI models to ensure accuracy and reliability, deploying AI models into production environments, and monitoring their performance. Furthermore, you will collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements: - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. - Proficiency in programming languages such as Python, Java, or C++. - Hands-on experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, reinforcement learning). - Experience with data preprocessing, feature engineering, and model evaluation. - Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. - Excellent problem-solving skills and ability to work independently as well as part of a team. - Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: - Experience with natural language processing (NLP) and computer vision applications. - Familiarity with big data technologies (e.g., Hadoop, Spark) for handling large-scale datasets. - Understanding of DevOps practices and experience with CI/CD pipelines. - Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects).,