Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.
Responsibilities:
Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
Document design specifications, implementation details, and best practices for internal and external stakeholders.
Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.
Requirements:
Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
Familiarity with software engineering best practices, including version control, testing, and code review.
Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.